(Publications by type) (Google Scholar)
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| Ageing | Varia (mostly book reviews) |
A Study of Individuals Who Succeeded Repeatedly in Life and Career
Transitions. Cambridge University Press.
Gobet, F. (2016). From bounded rationality to expertise. In R. Frantz & L. Marsh, Minds, models and milieux: Commemorating the centenary of Herbert Simon’s birth (pp. 151-166). New York: Palgrave Macmillan.
Lloyd-Kelly, M., Lane, P.C.R., & Gobet, F. (2014). The effects of bounding rationality on the performance and learning of CHREST agents in Tileworld. In M. Bramer and M. Petridis (Eds.), Proceedings of AI-2014: Thirty-fourth SGAI International Conference on Artificial Intelligence (pp.149-162). London: Springer. pdf
Gobet, F., & Lane, P. C. R. (2012). Bounded rationality and learning. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York, NY: Springer. pdf
Campitelli, G. & Gobet, F. (2010). Herbert Simon’s decision-making approach: Investigation of cognitive processes in experts. Review of General Psychology, 14, 354-364. pdf
Venegas, P., Britez, I., & Gobet, F. (2022). Ensemble models using symbolic regression and genetic programming for uncertainty estimation in ESG and alternative investments. In T. Walker, F. Davis, & T. Schwartz (Eds.), Big data in finance: Opportunities and challenges of financial digitalization (pp. 69-91). New York: Springer.
Venegas, P. & Gobet, F. (2022). Modeling NFT investor behavior using belief dissensus. Journal on Policy & Complex Systems, 7, 7-25.
(see Expertise / Problem solving and decision making )
Pirrone, A., Reina, A., Stafford, T., Marshall, J. A. R., & Gobet, F. (2022). Magnitude-sensitivity: Rethinking decision-making. Trends in Cognitive Science, 26, 66-80.
Pirrone, A., & Gobet, F. (2021). Is attentional discounting in value-based decision making magnitude sensitive? Journal of Cognitive Psychology, 33, 327-336.
Pirrone, A., Reina, A. & Gobet, F. (2021). Input-dependent noise can explain magnitude-sensitivity in optimal value-based decision-making. Judgment and Decision Making, 16, 1221–1333.
Pirrone, A., & Gobet, F. (2020). Modelling value-based decision-making policies using Genetic Programming: A proof of concept study. Swiss Journal of Psychology, 79, 113-121.
(see Cognitive Psychology / Problem solving )
Waters, A. J., & Gobet, F. (2024). Trustworthy experts and untrustworthy experts: Insights from the cognitive psychology of expertise. In M. Farina & A. Lavazza (Eds.), Overcoming the myth of neutrality: Expertise for a new world (pp. 13-28). London: Routledge.
Campitelli, G., Burgoyne, A., & Gobet, F. (2023). New developments in chess expertise research. Journal of Expertise. (Special Issue)
Campitelli, G., Burgoyne, A., & Gobet, F. (2023). New developments in chess expertise research: Introduction. Journal of Expertise, 6, 1-4.
Gobet, F. (2022). The psychology of games. In M. Negele, R. Tischbierek, & R. Forster (Eds.), Emanuel Lasker Volume 3: Labors and Legacy: Chess, Philosophy, and Psychology (pp. 257-292). Berlin: Exzelsior Verlag
Gobet, F. (2021). Chess research: Recent trends (Pesquisa de xadrez: Tendências recentes). Revista Mundi Engenharia, Tecnologia e Gestão, 6, 319-21.
Gobet, F. (2020). El futuro de la experticia. La necesidad de un abordaje multidisciplinario. In K. Curione, C. Hontou & E. Jaureguizar (Eds.) Encuentros alrededor del tablero: Miradas interdisciplinarias sobre el ajedrez (pp. 197-206). Montevideo: Universidad de la República Uruguay.
Gobet, F. (2020). Ignoring boundaries between disciplines. In D. Dai & R. Sternberg (Eds.), Scientific inquiry into human potential: Historical and contemporary perspectives across disciplines (pp. 60-74). New York: Routledge.
Gobet, F. (2018). Reply to Dreyfus and Rousse (2018). Journal of Expertise, 1, 184-186. pdf
Gobet, F. (2018). The future of expertise research: The need for a multidisciplinary approach. Journal of Expertise, 1, 107-113. pdf
Gobet, F. (in press). The psychology of chess. London: Routledge.
Gobet, F. (2019). The classic expertise approach and its evolution. In P. Ward, J. M. Schraagen, J. Gore, E. & Roth (Eds), Oxford handbook of expertise: Research and application (pp. 35-55). Oxford: Oxford University Press.
Gobet, F., & Charness, N. (2018). Expertise in chess. In K.A. Ericsson, R.R. Hoffman, A. Kozbelt & A.M. Williams. Cambridge handbook on expertise and expert performance (2nd ed.) (pp. 597-615). Cambridge, MA: Cambridge University Press.
Gobet, F. (2015). Understanding expertise: A multidisciplinary approach. London: Palgrave.
Campitelli, G., Gobet, F., & Bilalić, M. (2014). Cognitive processes and development of chess genius: An integrative approach. In K. Simonton (Ed.). Handbook of genius (pp. 350-374). New York: Wiley-Blackwell.
Gobet, F. (2012). Development of expertise. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York, NY: Springer. pdf
Gobet, F. (2011). Psychologie du talent et de l’expertise. Paris: De Boeck.
Luzzo, D. & Gobet, F. (2011). The neglected importance of emotions. Commentary on Gagné (2011). Talent Development and Excellence, 3, 85–87. pdf
Gobet, F. (2008). Board games. In G. Cross, R. Maddox, and W. Pencak (Eds.) Dictionary of American History, Dynamic Reference. New York, NY: Scribner. pdf
Didierjean, A., & Gobet, F. (2008). Can a 150-year-old British detective help modern cognitive psychology? The Psychologist, 21, October, 2-3. Preprint
Didierjean, A. & Gobet, F. (2008). Sherlock Holmes – An expert’s view of expertise. British Journal of Psychology, 99, 109-125. Preprint
Gobet, F., & Charness, N. (2006). Chess and games. Cambridge handbook on expertise and expert performance (pp. 523-538). Cambridge, MA: Cambridge University Press. pdf
Gobet, F., de Voogt, A., & Retschitzki, J. (2004). Moves in mind--The psychology of board games. Hove, UK: Psychology Press.
Gobet, F. (2002). Recherche et reconnaissance de patterns chez les experts. Revue d'Intelligence Artificielle, 16, 165-190. Preprint
Gobet, F. & Simon, H. A. (2001). Human learning in game playing. In M. Kubat & M. & J. Fürnkranz, Machines that learn to play games. Advances in Computation: Theory and Practice, Volume 8. Huntington, NY: Nova Science. Abstract
Gobet, F. (2001). Chess expertise. International encyclopedia of the social and behavioral sciences, 3, 1663-7. pdf
Gobet, F. (1999). Chess, Psychology of. MIT encyclopedia of the cognitive sciences. Cambridge, MA: The MIT Press. pdf
Richman, H. B., Gobet, F., Staszewski, J. J., & Simon, H. A. (1996). Perceptual and memory processes in the acquisition of expert performance: The EPAM model. In K. A. Ericsson (Ed.), The Road to Excellence. Mahwah, NJ: Erlbaum. pdf
Gobet, F. (2017). Three views on expertise: Philosophical implications for rationality, knowledge, intuition and education. Journal of Philosophy of Education, 51, 605–619. pdf
(Deliberate) practice and talent Back to top
Kawalek, J., & Gobet, F. (2024). Expertise in contemporary dance: The roles of cognition, talent and deliberate practice. Journal of Dance Education, 24, 21-34.
Staff, T., Gobet, F., & Parton, A. (2021). Early specialization and critical periods in acquiring expertise: A comparison of Traditional vs. Detection Talent Identification in Team GB Cycling at London 2012. Journal of Motor Learning and Development, 9, 296–312.
Staff, T., Gobet, F., & Parton, A. (2019). Investigating the period of practice needed to acquire expertise in Great Britain 2012 track and field Olympic athletes. Journal of Expertise, 2, 148-163. pdf
Sala, G., Burgoyne, A. P., Macnamara, B. N., Hambrick, D. Z., Campitelli, G., & Gobet, F. (2017). Checking the “academic selection” argument. Chess players outperform non-chess players in cognitive skills related to intelligence: A meta-analysis. Intelligence, 61, 130-139. pdf
Gobet, F. & Ereku, M. (2014). Checkmate to deliberate practice: The case of Magnus Carlsen. Frontiers in Psychology. doi: 10.3389/fpsyg.2014.00878 pdf
Hambrick, D. Z., Altmann, E. M., Oswald, F. L., Meinz, E. J., & Gobet, F. (2014). Facing facts about deliberate practice. Frontiers in Psychology. doi: 10.3389/fpsyg.2014.00751 pdf
Hambrick, D. Z., Altmann, E. M., Oswald, F. L., Meinz, E. J., Gobet, F., & Campitelli, G. (2014). Accounting for expert performance: The devil is in the details. Intellligence, 45, 112-114. pdf
Hambrick, D. Z., Oswald, F. L., Altmann, E. M., Meinz, E. J., Gobet, F., & Campitelli, G. (2014). Deliberate practice: Is that all it takes to become an expert? Intellligence, 45, 34–45. pdf
Gobet, F. (2013). Checkmate to deliberate practice. Unpublished manuscript. pdf
Gobet, F. (2013). Expertise vs. talent. Talent Development and Excellence, 5, 59-70. pdf
Campitelli, G. & Gobet, F. (2011). Deliberate practice: Necessary but not sufficient. Current Directions in Psychological Science, 20, 280-285. pdf
Campitelli, G., & Gobet, F. (2011). El rol de la edad, la práctica y la lateralidad en la adquisición de habilidades expertas [The role of age, practice and handedness in the acquisition of expert skills]. Psicologia del Desarrollo,1, 29-38.
Gobet, F. (2011). Deliberate or uncontrolled practice? Commentary on Deslauriers et al. (2011). Unpublished manuscript. pdf
Gobet, F. (2012). Deliberate practice and its role in expertise development. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York, NY: Springer. pdf
Gobet, F. (2011). Psychologie du talent et de l’expertise. Paris: De Boeck.
Chassy, P. & Gobet, F. (2010). Speed of expertise acquisition depends upon inherited factors. Talent Development and Excellence, 2, 17-27. pdf
Campitelli, G., & Gobet, F. (2009, January). Handedness, practice and talent in chess. ChessBase News (http://chessbase.com/).
Gobet, F. (2009). Chess. In B. Kerr (Ed.), Encyclopedia of giftedness, creativity, and talent (pp. 129-131). Thousand Oaks, CA: SAGE Publications. pdf
Campitelli, G., & Gobet, F. (2009). El rol de la edad, la práctica y la lateralidad en la adquisición de habilidades expertas [The role of age and practice in the acquisition of expert skills.] In F. Adrover (Ed.), Actas del 1ero Congreso de Psicología del Desarrollo y Ciclo Vital [Proceedings of the 1st Conference in Developmental and Lifespan Psychology] (pp. 11-20). Buenos Aires: Universidad Abierta Interamericana.
Campitelli, G., & Gobet, F. (2008). The role of practice in chess: A longitudinal study. Learning and Individual Differences, 18 , 446-458. Preprint
Gobet, F. (2008). The role of deliberate practice in expertise: Necessary but not sufficient. Proceedings of the 30th Annual Meeting of the Cognitive Science Society (p. 823). Mahwah, NJ: Erlbaum. pdf
Gobet. F. & Campitelli, G. (2007). The role of domain-specific practice, handedness and starting age in chess. Developmental Psychology, 43, 159-172. Preprint
Gobet, F. (1996). Expertise und Gedaechtnis (Expertise and Memory). In H. Gruber & A. Ziegler, (Eds.). Expertiseforschung. Theoretische und methodische Grundlagen. Opladen: Westdeutscher Verlag.
Chassy, P., Lahaye, R., Didierjean, A., & Gobet, F. (2023). Intuition in chess: A study with world-class players. Psychological Research, 87, 2380–2389.
Gobet, F. (2012). Concepts without intuition lose the game: Commentary on Montero and Evans (2011). Phenomenology and the Cognitive Sciences, 11, 237-250. pdf
Chassy, P. & Gobet, F. (2011). A hypothesis about the biological basis of expert intuition. Review of General Psychology, 15, 198-212. pdf
Gobet. F. & Chassy, P. (2009). Expertise and intuition: A tale of three theories. Minds and Machines, 19, 151-180. Preprint
Gobet. F. & Chassy, P. (2008). Towards an alternative to Benner’s theory of expert intuition in nursing: A discussion paper. International Journal of Nursing Studies, 45, 129-139. Preprint
Gobet, F. (1997). En marge du match Kasparov - "Deep Blue II": Défaite ou victoire pour l'intuition humaine? Revue Suisse des Echecs, 7, 12-13. Preprint
Gobet, F. (1997, May 1). Kasparov affronte à nouveau DEEP BLUE: Intuition contre calcul. La Liberté.
de Groot, A. & Gobet, F. (1996). Perception and memory in chess. Heuristics of the professional eye. Assen: Van Gorcum. Chapter 9; A discussion: Two authors, two different views?
Gobet, F. (2009). Using a cognitive architecture for addressing the question of cognitive universals in cross-cultural psychology: The example of awalé. Journal of Cross-Cultural Psychology, 40, 627-648. Preprint
Brancaccio, A., & Gobet, F. (2023). Scientific explanations of the performance gender gap in chess and science, technology, engineering and mathematics (STEM). Journal of Expertise, 6, 81-107.
Bilalić, M., Smallbone, K., McLeod, P., & Gobet, F. (2009). Why are (the best) women so good at chess? Participation rates and gender differences in intellectual domains. Proceedings of the Royal Society B, 276, 1161-1165. Preprint
Chassy, P. & Gobet, F. (2013). Visual search in ecological and non-ecological displays: Evidence for a non-monotonic effect of complexity on performance. PLoS ONE, 8, e53420. pdf
Lane, P. C. R. & Gobet, F. (2011). Perception in chess and beyond: Commentary on Linhares and Freitas (2010). New Ideas in Psychology, 29, 156-161. pdf
Bilalić, M. & Gobet, F. (2009). They do what they are told to do: The influence of instruction on (chess) expert perception - Commentary on Linhares and Brum (2007). Cognitive Science, 33, 743-747. Preprint
de Groot, A. & Gobet, F. (1996). Perception and memory in chess. Heuristics of the professional eye. Assen: Van Gorcum. Contents Chapter 9; A discussion: Two authors, two different views?
Sala, G., & Gobet, F. (2017). Experts’ memory superiority for domain-specific random material generalises across fields of expertise: A meta-analysis. Memory & Cognition, 45, 183-193. pdf
Gobet, F., Lloyd-Kelly, M., & Lane, P.C.R (2016). What’s in a name? The multiple meanings of “chunk” and “chunking”. Frontiers in Psychology. pdf
Lane, P. C. R., & Gobet, F. (2012). CHREST models of implicit learning and board game interpretation. In J. Bach, B. Goertzel, & M. Iklé (Eds.): Artificial General Intelligence - 5th International Conference, AGI 2012. Lecture Notes in Computer Science, Vol. 7716, pp. 148-157. London, UK: Springer-Verlag. pdf
Gobet, F. (in press). Chunks and templates in semantic long-term memory: The importance of specialization. In J. Staszewski (Ed.), Expertise and skill acquisition: The impact of William G. Chase. New York, NY: Psychology Press. pdf
Chassy, P. & Gobet, F. (2011). Measuring chess experts’ single-use sequence knowledge using departure from ‘theoretical’ openings: An archival study. PLoS ONE, 6(11): e26692. pdf
Gobet, F., & Borg, J. L. (2011). The intermediate effect in clinical case recall is present in musculoskeletal physiotherapy. Manual Therapy, 16, 327-331. pdf
Gobet, F., & Clarkson, G. (2004). Chunks in expert memory: Evidence for the magical number four… or is it two? Memory, 12, 732-747. pdf
Gobet, F. (2003). Implicit learning of expert chess knowledge. AISB Quarterly, 114, 8.
Gobet, F., & Oliver, I. (2002). A Simulation of Memory for Computer Programs. (Tech. Rep. No. 74. University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training.
Gobet, F. (2000) Retrieval structures and schemata: A brief reply to Ericsson and Kintsch. British Journal of Psychology, 91, 591-594. Preprint
Gobet, F. (2000). Some shortcomings of long-term working memory. British Journal of Psychology, 91, 551-570. Abstract Preprint
Simon, H. A. & Gobet, F. (2000). Expertise effects in memory recall: A reply to Vicente and Wang. Psychological Review, 107, 593-600.Abstract Preprint
Gobet, F. (1998). Expert memory: A comparison of four theories. Cognition , 66, 115-152.Abstract Preprint
Gobet, F. & Simon, H. (1998). Expert chess memory: Revisiting the chunking hypothesis. Memory, 6, 225-255. Abstract
Gobet, F. & Simon, H. A. (1996). Templates in chess memory: A mechanism for recalling several boards. Cognitive Psychology, 31, 1-40. Abstract Preprint
Gobet, F. & Simon, H. A. (1996). Recall of random and distorted positions: Implications for the theory of expertise. Memory & Cognition, 24, 493-503. Abstract Preprint
Gobet, F. & Simon, H. A. (1996). Recall of rapidly presented random chess positions is a function of skill. Psychonomic Bulletin & Review, 3, 159-163. Abstract Preprint
Gobet, F. (1996) Long-term working memory. Comment on Ericsson and Kintsch (1995). (Tech. Rep. No. 41). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. postscript
Gobet, F. (1996) Memory in Chess Players: Comparison of Four Theories. (Tech. Rep. No. 43). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. postscript
Gobet, F. (1993). Les mémoires d'un joueur d'échecs. Fribourg (Switzerland): Editions Universitaires. Contents (in French) Chapter 10: Conclusion
Gobet, F., & Waters, A. J. (2008). Computational modelling of mental imagery in chess: A sensitivity analysis. Proceedings of the 30th Annual Meeting of the Cognitive Science Society (pp. 2234-2329) Mahwah, NJ: Erlbaum. pdf
Waters, A. J., & Gobet, F. (2008). Mental imagery and chunks: Empirical and computational findings. Memory & Cognition, 36, 505-517. Preprint
Campitelli, G., Gobet, F., Williams, G., & Parker, A. (2007). Integration of perceptual input and visual imagery in chess players: Evidence from eye movements. Swiss Journal of Psychology, 66, 201–213. Preprint
Campitelli, G., & Gobet. F. (2005). The mind's eye in blindfold chess. European Journal of Cognitive Psychology, 17, 23-45. Preprint
Lu, Y., de Voogt, A., & Gobet, F. (2024). Dominance, streakiness, and non-random patterns in the game of N!àì. Journal of Expertise, 7, 303-314.
Gobet, F., & Waters, A. J. (2023). Searching for answers: Expert pattern recognition and planning. Trends in Cognitive Science, 27, 788-790.
Amidu, A. R., Boyd, D, & Gobet, F. (2019). A study of the interplay between intuition and rationality in valuation decision making. Journal of Property Researchh, 36, 387-418. pdf
Amidu, A. R., Boyd, D, & Gobet, F. (2019). A protocol analysis of use of forward and backward reasoning during valuation problem solving. Property Management, 37, 638-661. pdf
Bilalić, M., McLeod, P., & Gobet, F. (2010). The mechanism of the Einstellung (set) effect: A pervasive source of cognitive bias. Current Directions of Psychological Science, 19, 111-115. pdf
Bilalić, M., McLeod, P., & Gobet, F. (2009). Specialization effect and its influence on memory and problem solving in expert chess players. Cognitive Science, 33, 1117–1143. Preprint
Bilalić, M., McLeod, P., & Gobet, F. (2008). Expert and ‘novice’ problem solving strategies in chess – Sixty years of citing de Groot (1946/1965/1978 Thinking and Reasoning, 14, 395-408. Preprint Bilalić, M., McLeod, P., & Gobet, F. (2008). Why good thoughts block better ones: The mechanism of the pernicious Einstellung (set) effect. Cognition, 108, 652–661. Preprint
Bilalić, M., McLeod, P., & Gobet, F. (2008). Inflexibility of experts – Reality or myth? Quantifying the Einstellung effect in chess masters. Cognitive Psychology, 56, 73-102. Preprint
Campitelli, G., & Gobet, F. (2004). Adaptive expert decision making: Skilled chessplayers search more and deeper. Journal of the International Computer Games Association. Preprint Figures
Gobet, F. (2004). Role of pattern recognition and search in expert decision making. Proceedings of the 26th Annual Meeting of the Cognitive Science Society (p. 25). Mahwah, NJ: Erlbaum. Pdf
Gobet, F. (2003). Forward search, pattern recognition and visualization in expert chess: A reply to Chabris and Hearst (2003). Unpublished manuscript.
Gobet, F. & Simon, H. A. (2000). Reply to Lassiter. Psychological Science, 11, 174. Preprint
Gobet, F., & Simon, H. A. (1998). Pattern recognition makes search possible: Comments on Holding (1992). Psychological Research, 61, 204-208.Abstract Preprint
Gobet, F. (1998). Chess players' thinking revisited. Swiss Journal of Psychology, 57, 18-32.Abstract Preprint
Gobet, F. & Simon, H. A. (1996). The Roles of recognition processes and look-ahead search in time-constrained expert problem solving: Evidence from grandmaster level chess. Psychological Science, 7, 52-55. Abstract Preprint
Gobet. F. (1996). Roles of pattern recognition and search in expert problem solving. (Tech. Rep. No. 42). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. postscript
Guida, A., Campitelli, G., & Gobet, F. (2016). Becoming an expert: Ontogeny of expertise as an example of neural reuse. [Commentary] Behavioural and Brain Sciences. pdf
Guida, A., Gobet, F. & Nicolas, S. (2013). Functional cerebral reorganization: A signature of expertise? Reexamining Guida, Gobet, Tardieu, and Nicolas’ (2012) two-stage framework. Frontiers in Human Neuroscience, 7, 590. pdf
Wright, M. J., Gobet, F., Chassy, P., & Ramchandani, P. N. (2013). ERP to chess stimuli reveal expert-novice differences in the amplitudes of N2 and P3 components. Psychophysiology, 50, 1023-1033. pdf
Guida, A., Gobet, F., Tardieu H., & Nicolas, S. (2012). How chunks, retrieval structures and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition, 79, 221-244. pdf
Campitelli, G., Parker, A., Head, K., & Gobet, F. (2008). Left Lateralization in autobiographical memory: An fMRI study using the expert archival paradigm. International Journal of Neuroscience, , 118, 191-209. Preprint
Campitelli, G., Gobet, F., Head, K., Buckley, M., & Parker, A. (2007). Brain localisation of memory chunks in chessplayers. International Journal of Neuroscience, 117:1641-1659. Preprint
Campitelli, G., Gobet, F, & Parker, A. (2005). Structure and stimulus familiarity: A study of memory in chess-players with functional magnetic resonance imaging. Spanish Journal of Psychology, 8, 238-245. pdf
Campitelli, G., Gobet, F., & Parker, A. (2003). De cuestionarios a resonancia magnética funcional (fMRI) en expertos. Un paradigma para el estudio de processos cognitivos. Salud, educación, justicia y trabajo: Memorias de las X Jornadas de Investigación (Tomo II) (pp. 209-212). Universidad de Buenos Aires: Facultad de Psichologia. pdf
Sala, G., Tatlidil, K. S., & Gobet, F. (2018). Video game training does not enhance cognitive ability: A comprehensive meta-analytic investigation. Psychological Bulletin, 144, 111-139. pdf
Gobet, F. (2017). Allen Newell's program of research: The video‐game test. Topics in Cognitive Science, 9, 522-532. pdf
Gray, W. D. et al. (2017) Game-XP: Action Games as Cognitive Science Paradigms. Proceedings of the 39th Annual Meeting of the Cognitive Science Society. pdf
Gobet, F, Johnston, S. J., Ferrufino, G., Weeden, L., Johnston, M., Jones, M. B., Molyneux, A., & Terzis, A. (2014). No Level Up!’: No effects of video game specialization and expertise on cognitive performance. Frontiers in Psychology. pdf
Gobet, F., Lloyd-Kelly, M., & Lane, P. C. R. (2017). Computational models of expertise. In D. Z. Hambrick, G. Campitelli, and B. N. Macnamara (Eds.), The science of expertise (pp. 347-364). New York: Psychology Press.
Gobet, F., & Waters, A. J. (2003). The role of constraints in expert memory. Journal of Experimental Psychology: Learning, Memory & Cognition, 29, 1082–1094. Preprint
Gobet, F., & Jackson, S. (2002). In search of templates. Cognitive Systems Research, 3, 35-44. (reprint of Gobet & Jackson, 2001)
Gobet, F. (2001). Chunks hierarchies and retrieval structures. Comments on Saariluoma and Laine. Scandinavian Journal of Psychology, 42, 149-155. Abstract Preprint [Reprinted in Mason, M. (2004). Taking sides: Clashing views on controversial issues in cognitive science. Columbus, OH: McGraw Hill/Dushkin.]
Gobet, F. (2001). Is experts' knowledge modular? Proceedings of the 23rd Meeting of the Cognitive Science Society, pp. 336-431. Mahwah, NJ: Erlbaum. pdf
Gobet, F., & Jackson, S. (2001). In search of templates. Proceedings of the 4th International Conference on Cognitive Modeling, pp. 97-102. Mahwah, NJ: Erlbaum. (Reprinted in Cognitive Systems Research) pdf
Gobet, F. & Simon, H. A. (2000). Five seconds or sixty? Presentation time in expert memory. Cognitive Science, 24, 651-682. Abstract html
Gobet, F. (2000). Long-term working memory: A computational implementation for chess expertise. Proceedings of the 3rd International Conference on Cognitive Modelling, pp. 142-149. Veenendaal, The Netherlands: Universal Press. Abstract html
Gobet, F. (1999). EPAM-like simulations of the recall of random chess positions. In U. Schmid, J.F. Krems & F. A. Wysotzki (Eds.), Cognitive science approach to reasoning, learning and discovery. Lengerich, Germany: Pabst. Abstract
Gobet, F. (1998). Memory for the meaningless: How chunks help. Proceedings of the 20th Meeting of the Cognitive Science Society. (pp. 398-403). Mahwah, NJ: Erlbaum. Abstract html
Gobet , F. (1993). A computer model of chess memory. Proceedings of 15th Annual Meeting of the Cognitive Science Society, (pp. 463-468). Hillsdale, NJ: Erlbaum. Abstract html
Bossomaier, T., Traish, J., Gobet, F, & Lane P. C. R. (2012). Neuro-cognitive model of move location in the game of Go. International Joint Conference on Neural Networks (IJCNN 2012). pdf
Gobet, F. (1997). A pattern-recognition theory of search in expert problem solving. Thinking and Reasoning, 3, 291-313. Abstract Preprint
Gobet F. & Jansen, P. (1994). Towards a chess program based on a model of human memory. In H. J. van den Herik, I. S. Herschberg, & J. W.Uiterwijk (Eds.), Advances in Computer Chess 7. Maastricht: University of Limburg Press. Abstract
Gobet, F. (2024). All you need is LUV: Commentary on Rey (2024). Topics in Cognitive Psychology/L'Année Psychologique.
Javed, N., Pirrone, A., Bartlett, L., Lane, P.C.H., & Gobet, F. (2023). Trust in cognitive models: Understandability and computational reliabilism. Proceedings of the AISB Convention 2023. Swansea, UK.
Gobet, F., Lane, P.C.R, & Lloyd-Kelly, M. (2015). Chunks, schemata and retrieval structures: Past and current computational models. Frontiers in Psychology.
Lane, P. C. R., & Gobet, F. (2013). Evolving non-dominated parameter sets for computational models from multiple experiments.Journal of Artificial General Intelligence, 4, 1, 1–30. pdf
Lane, P.C.R., & Gobet, F. (in press). A theory-driven testing methodology for developing scientific software. Journal of Experimental and Theoretical Artificial Intelligence. pdf
Lane, P. C. R., & Gobet, F. (2008). A methodology for developing computational implementations of scientific theories. Proceedings of the 10th International Conference on Computer Modelling and Simulation (UKSIM 2008) (pp. 392-397). Institute of Electrical and Electronics Engineers. pdf
Frias-Martinez , E., & Gobet, F. (2007). Automatic generation of cognitive theories using genetic programming. Minds & Machines, 17, 287-309. pdf
Lane, P. C. R., & Gobet, F. (2007). Developing and evaluating cognitive architectures with behavioural tests. AAAI workshop on Evaluating Architectures for Intelligence (pp. 109-114). Hove, UK: Psychology press. pdf
Gobet, F., & Parker, A. (2005). Evolving structure-function mappings in cognitive neuroscience using genetic programming. Swiss Journal of Psychology, 64, 231-239. Preprint
Gobet, F., & Lane, P. C. R. (2005). A distributed framework for semi-automatically developing architectures of brain and mind. Proceedings of the First International Conference on e-Social Science. Manchester. pdf
Lane, P. C. R., & Gobet, F. (2005). Discovering predictive variables when evolving cognitive models. Third International Conference on Advances in Pattern Recognition. pdf
Lane, P. C. R., & Gobet, F. (2005). Multi-task learning and transfer: The effect of algorithm representation. Proceedings of the ICML-2005 Workshop on Meta-learning. pdf
Gobet, F., Campitelli, G., & Lane, P. C. R. (2004). Computational models of the development of perceptual expertise: Commentary on Palmeri et al. (2004). Unpublished manuscript. pdf
Lane, P. C. R., & Gobet, F. (2003). Developing reproducible and comprehensible computational models. Artificial Intelligence, 144 , 251-263. Preprint
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (2003). Techniques for modeling human performance in synthetic environments: A supplementary review. Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center.
Lane, P.C.R., Gobet, F., & Cheng, P.C-H. (2000). Learning-based constraints on schemata. Proceedings of the Twenty Second Annual Meeting of the Cognitive Science Society , Philadelphia, USA, 2000. Abstract pdf
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (1999). Techniques for modelling human performance in synthetic environments: A supplementary review. (Tech. Rep. No. 62. University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. pdf
Gobet, F. & Lane, P. C. R. (2020). Constructing a standard model: Lessons from CHREST. Common Model of Cognition Bulletin, 1, 338-343.
Gobet, F. & Lane, P. C. R. (2017). Constructing a Standard Model: Lessons from CHREST. Proceedings of the 2017 AAAI Fall Symposium Series. pdf
Lloyd-Kelly, M., Gobet, F., & Lane, P.C.R. (in press). Piece of mind: Long-term memory structure in ACT-R and CHREST.Proceedings of the 37th Annual Meeting of the Cognitive Science Society. pdf
Gobet, F., & Lane, P. C. R. (2012). Chunking mechanisms and learning. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York, NY: Springer. pdf
Gobet, F., & Lane, P. C. R. (2012). Learning in the CHREST cognitive architecture. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York, NY: Springer. pdf
Gobet, F., & Lane, P. C. R. (2010). The CHREST architecture of cognition: The role of perception in general intelligence. In Baum, E., Hutter, M., & Kitzelmann, E. (Eds), Proceedings of the Third Conference on Artificial General Intelligence (pp. 7-12). Amsterdam: Atlantis Press. pdf
Lane, P. C. R., & Gobet, F. (2009). EPAM/CHREST Tutorial: Fifty years of simulating human learning. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Cognitive Science Society. pdf
Lane, P. C. R., & Gobet, F. (2009). EPAM/CHREST: Fifty years of simulating learning. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, UK.
Lane, P. C. R., Gobet, F., Smith, Ll. (2008). Attention mechanisms in the CHREST cognitive architecture. In L. Paletta & J. K. Tsotsos, Proceedings of the 5th International Workshop on Attention in Cognitive Systems (pp. 207-220). Graz: Joanneum Research. Preprint
Gobet, F. & Lane, P. (2007). How do order effects arise in a cognitive model? In T. O'Shea, E. Lehtinen, F. E. Ritter & P. Langley (Eds.), Order effects in learning (pp. 107-118). New York, NY: Oxford University Press.
Gobet, F. (2005). Modularity and chunking. In W. Callebaut and D. Rasskin- Gutman (Eds.), Modularity: Understanding the development and evolution of natural complex systems (pp. 331-351). Vienna Series in Theoretical Biology. Cambridge: The MIT Press.
Gobet, F. & Lane, P. (2005). The CHREST architecture of cognition: Listening to empirical data. In D. Davis (Ed.), Visions of mind: Architectures for cognition and affect. (pp. 204-224). Hershey, PA: Information Science Publishing .
Gobet, F. & Lane, P. C. R. (2004). CHREST tutorial: Simulations of human learning. Proceedings of the 26th Annual Meeting of the Cognitive Science Society (p. 3). Mahwah, NJ: Erlbaum.
Lane, P. & Gobet, F. (2003). Learning and recognition: Capturing an expert's perceptual knowledge. In C. Faucher, L. Jain, and N. Ichalkaranje (Eds.), Innovations in Knowledge Engineering (Vol. 4).
Gobet, F. (2001). Réseaux de discrimination en psychologie: L'exemple de CHREST. Swiss Journal of Psychology, 60, 264-277. Preprint
Gobet, F., Lane, P. C. R., Croker, S., Cheng, P. C-H., Jones, G., Oliver, I. & Pine, J. M. (2001). Chunking mechanisms in human learning. TRENDS in Cognitive Sciences, 5, 236-243. Abstract pdf
Gobet, F. (1996). Discrimination nets, production systems and semantic networks: Elements of a unified framework. Proceedings of the 2nd International Conference on the Learning Sciences. (pp. 398-403). Evanston Il: Northwestern University. Abstract html
Gobet, F., & Oliver, I. (2016). Memory for the random: A simulation of computer program recall. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. pdf
Gobet, F. (2013). Chunks and templates in semantic long-term memory: The importance of specialization. In J. J. Staszewski (Ed.),Expertise and skill acquisition: The impact of William G. Chase (pp. 117-146). New York, NY: Psychology Press. pdf
Smith, Ll., Gobet, F., & Lane, P. C. R. (2009). Checking chess checks with chunks: A model of simple check detection. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, UK. pdf
Lane, P. C. R., & Gobet, F. (2003). Towards a model of expectation-driven perception. AISB Quarterly, 114, 7.
Lane P. C. R., Sykes, A., & Gobet, F. (2003). Combining low-level perception with expectations in CHREST. Proceedings of the European Cognitive Science Conference 2003 (pp. 205-210). Mahwah, NJ: Erlbaum. pdf
Lane, P. C. L., Cheng, P.C.-H., & Gobet, F. (2001). Learning perceptual chunks for problem decomposition. Proceedings of the 23rd Meeting of the Cognitive Science Society, pp. 528-533. Mahwah, NJ: Erlbaum. pdf
Lane, P. C. R., Cheng, P. C-H., & Gobet, F. (2001). The CHREST model of active perception and its role in problem solving. [Commentary] Behavioural and Brain Sciences, 24, 892. Preprint
Lane, P. C. R., Gobet, F., & Cheng, P. C-H. (2001). What forms the chunks in a subject's performance? Lessons from the CHREST computational model of learning. [Commentary] Behavioural and Brain Sciences, 24, 128-129. Preprint
Lane, P. C. R., Cheng, P. C-H. & Gobet, F. (2000). CHREST+: A simulation of how humans learn to solve problems using diagrams. AISB Quarterly, 103, 24-30. Abstract Preprint
Lane, P.C.R., Gobet, F., and Cheng, P.C-H. Predicting perceptual chunks with a computational model of problem solving with diagrams (ESRC CREDIT Technical Report No. 67, University of Nottingham, 2000). postscript
Lane, P. C. R., Cheng, P. C-H., & Gobet, F. (1999). Problem solving with diagrams: Modelling the implicit learning of perceptual information. (Tech. Rep. No. 59). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. postscript
Lane, P. C. R., Cheng, P. C-H. & Gobet, F. (1999). Learning perceptual schemas to avoid the utility problem. Proceedings of the Nineteenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence. Cambridge, UK. Abstract
Bennett, D., Lane, P. C. R., & Gobet, F. (2020). Forming concepts of Mozart and Homer using short-term and long-term memory: A computational model based on chunking. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society.
Lane, P. C. R., & Gobet, F. (2012). Using chunks to categorise chess positions. In M. Bramer and M. Petridis (Eds.), Research and Development in Intelligent Systems XXIX: Proceedings of AI-2012, The Thirty-Second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 93-106, London, UK: Springer-Verlag. pdf
Gobet, F., Richman, H., Staszewski, J., & Simon, H. A. (1997). Goals, representations, and strategies in a concept attainment task: The EPAM model. The Psychology of Learning and Motivation, 37, 265-290. Preprint
Gobet, F. (1999). Simulations of stagewise development with a symbolic architecture. In J. P. Dauwalder & W. Tschacher (Eds.), Dynamics, synergetics, and autonomous agents. Singapore: World Scientific. Abstract Preprint
Smith, Ll., Lane, P. C. R., & Gobet, F. (2008). Modelling the relationship between visual short-term memory capacity and recall ability. European Modelling Symposium 2008 (EMS2008). Institute of Electrical and Electronics Engineers. pdf
Smith, Ll., Gobet, F., & Lane, P. C. R. (2007). An investigation into the effect of ageing on expert memory with CHREST. Proceedings of the United Kingdom Workshop On Computational Intelligence— UKCI07. pdf
Lloyd-Kelly, M., Gobet, F., & Lane, P.C.R (2015). A question of balance: The benefits of pattern-recognition when solving problems in a complex domain. LNCS Transactions on Computational Collective Intelligence, XX, 224-258.
Lloyd-Kelly, M., Gobet, F., & Lane, P.C.R. (2015). The art of balance: Problem-solving vs. pattern-recognition. 7th International Conference on Agents and Artificial Intelligence (ICAART). pdf
Lloyd-Kelly, M., Lane, P.C.R., & Gobet, F. (2014). The effects of bounding rationality on the performance and learning of CHREST agents in Tileworld. In M. Bramer and M. Petridis (Eds.), Proceedings of AI-2014: Thirty-fourth SGAI International Conference on Artificial Intelligence (pp.149-162). London: Springer. pdf
Dougan, P., Gobet, F., & King, M. (2006). Modelling systematic communication differences between Law and Science. In M. Freeman, Current Legal Issues - Law and Psychology (pp. 105-124). Oxford University Press.
Gegov, E., Postorino, M. N., Atherton, M., & Gobet, F. (2013). Community structure detection in the evolution of the United States airport network. Advances in Complex Systems, 16, 1-21. pdf
Gegov, E., Posterino, N., Gegov, A., Atherton, M., & Gobet, F. (2012). Space-independent community structure detection in United States air transportation. 13th IFAC Symposium on Control in Transportation Systems. Sofia, Bulgaria.
Gegov, E., Gegov, A., Gobet, F., Atherton, M., Freudenthal, D., & Pine, J. (2012). Cognitive modelling of language acquisition with complex networks. In A. Floares (Ed.),Computational intelligence (pp. 95-106). Hauppauge, NY: NOVA Science.
Gegov, E., Gegov, A., Gobet, F., Atherton, M., Freudenthal, D., & Pine, J. (in press). Cognitive modelling of language acquisition with complex networks. In Computational intelligence. Hauppauge, NY: NOVA Science.
Gegov, E., Gegov, A., Atherton, M., & Gobet, F. (2011). Evolution based modelling of complex airport networks. Proceedings of COSY 2011: International Conference on Complex Systems. pdf
Gegov, E., Gobet, F., Atherton, M., Freudenthal, D., & Pine, J. (2011). Modelling language acquisition in children using network theory. Proceedings of the European Cognitive Science Conference 2011. pdf
Gobet, F. (2017). Entrenchment, Gestalt formation and chunking. In H.-J. Schmid (Ed.), Entrenchment, memory and automaticity. The psychology of linguistic knowledge and language learning (pp. 245-267). Berlin: Walter de Gruyter.
Gobet, F., Pine, J. M., & Freudenthal, D. (2007). Towards a unified model of language acquisition. Proceedings of the European Cognitive Science Conference 2007. pdf
Pine, J.M., Freudenthal, D., & Gobet, F. (2020). Understanding the cross-linguistic pattern of verb-marking error in typically developing children and children with Developmental Language Disorder: Why the input matters. In C. Rowland, A. Theakston, B. Ambrige, & K. Twomey (Eds). Current perspectives on child language acquisition: How children use their environment to learn. Amsterdam (NL): John Benjamins.
Freudenthal, D., Gobet, F., & Pine, J. (2024). MOSAIC+: A cross-linguistic model of verb-marking error in typically developing children and children with Developmental Language Disorder. Language Learning, 74, 111–145.
Pine, J., Freudenthal, D., & Gobet, F. (2023). Building a unified model of the Optional Infinitive Stage: Simulating the cross-linguistic pattern of verb-marking error in typically developing children and children with Developmental Language Disorder. Journal of Child Language.
Freudenthal, D., Pine, J. M., & Gobet, F. (2019). Learning cross-linguistic word classes through developmental distributional analysis. Proceedings of the 41stAnnual Meeting of the Cognitive Science Society.
Freudenthal, D., Pine, J. M., & Gobet, F. (2018). A computational model of the acquisition of German case. Proceedings of the 40th Annual Meeting of the Cognitive Science Society.
Freudenthal, D., Pine, J. M., Jones, G. & Gobet, F. (2016). Developmentally plausible learning of word categories from distributional statistics. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. pdf
Freudenthal, D., Pine, J. M., Jones, G. & Gobet, F. (2016). Simulating developmental changes in noun richness through performance-limited distributional analysis. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. pdf
Freudenthal, D., Pine, J. M., Jones, G. & Gobet, F. (in press). Defaulting effects contribute to the simulation of cross-linguistic differences in Optional Infinitive errors. Proceedings of the 37th Annual Meeting of the Cognitive Science Society. pdf
Freudenthal, D., Pine, J., Jones, G., & Gobet, F. (2015). Simulating the cross-linguistic pattern of Optional Infinitive errors in children's declaratives and Wh- questions. Cognition, 143, 61-76. pdf
Freudenthal, D., Pine, J. M., Jones, G. & Gobet, F. (2013). Frequent frames, flexible frames and the noun-verb asymmetry. Proceedings of the 35th Annual Meeting of the Cognitive Science Society. pdf
Pine, J. M., Freudenthal, D., Krajewski, G., & Gobet, F. (2013). Do young children have adult-like syntactic categories? Zipf's law and the case of the determiner. Cognition,127, 345-360. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2010). Explaining quantitative variation in the rate of Optional Infinitive errors across languages: A comparison of MOSAIC and the Variational Learning Model. Journal of Child Language, 37, 643-669. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2009). Comparing MOSAIC and the Variational Learning model of the optional infinitive stage in early child language. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Cognitive Science Society. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2009). Simulating the referential properties of Dutch, German and English Root Infinitives in MOSAIC. Language Learning and Development, 5, 1-29. Preprint
Freudenthal, D., Pine, J. M., & Gobet, F. (2008). On the utility of conjoint and compositional frames and utterance boundaries as predictors of word categories. Proceedings of the 30th Annual Meeting of the Cognitive Science Society. Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J.M. & Gobet, F. (2007). Meter based omission of function words in MOSAIC. In R. L. Lewis, T. A. Polk, and J. E. Laird (eds.). Proceedings of the Eighth International Conference on Cognitive Modelling (pp. 219-224). Hove, UK: Psychology press. pdf
Freudenthal, D., Pine, J. M. & Gobet, F. (2007). Simulating the noun-verb asymmetry in the productivity of children’s speech. In R. L. Lewis, T. A. Polk, and J. E. Laird (eds.). Proceedings of the Eighth International Conference on Cognitive Modelling (pp. 109-114). Hove, UK: Psychology press. pdf
Freudenthal, D., Pine, J. M., Aguado-Orea, J., & Gobet, F. (2007). Modelling the developmental patterning of finiteness marking in English, Dutch, German and Spanish using MOSAIC, Cognitive Science, 31, 311-341. Preprint
Freudenthal, D., Pine, J. M., & Gobet, F. (2007). Understanding the developmental dynamics of subject omission: The role of processing limitations in learning. Journal of Child Language, 34, 83-110. Preprint
Freudenthal, D., Pine, J. M., & Gobet, F. (2006). Unifying cross-linguistic and within-language patterns of finiteness marking in MOSAIC. Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 232-237). Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2005). Modelling the development of children's use of optional infinitives in English and Dutch using MOSAIC. Cognitive Science, 30, 277-310. Preprint
Freudenthal, D., Pine, J. M., & Gobet, F. (2005). Simulating the cross-linguistic development of optional infinitive errors in MOSAIC. Proceedings of the 27th Annual Meeting of the Cognitive Science Society. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2005). Simulating optional infinitive errors in child speech through the omission of sentence-internal elements. Proceedings of the 27th Annual Meeting of the Cognitive Science Society. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2005). Resolving ambiguities in the extraction of syntactic categories through chunking. Cognitive Systems Research, 6, 17-25. Preprint
Gobet, F, .Freudenthal, D., & Pine, J. M. (2004). Modelling syntactic development in a cross-linguistic context. Proceedings of the COLING 2004 Workshop "Psychocomputational Models of Human Language Acquisition" (pp. 53-60). Geneva: COLING. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2004). Simulating the temporal reference of Dutch and English Root Infinitives. Proceedings of the 26th Annual Meeting of the Cognitive Science Society (pp. 410-415). Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2004). Resolving ambiguities in the extraction of syntactic categories through chunking. Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 94-99). Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2003). The role of input size and generativity in simulating language acquisition. Proceedings of the European Cognitive Science Conference 2003 (pp. 121-126). Mahwah, NJ: Erlbaum. pdf
Croker, S., Pine, J. M., & Gobet, F. (2003). Modelling children's negation errors using probabilistic learning in MOSAIC. In F. Detje, D. Dörner & H. Schaub (Eds.) Proceedings of the Fifth International Conference on Cognitive Modeling, (pp. 69-74). Bamberg:Universitäts-Verlag. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2002). Subject omission in children's language; The case for performance limitations in learning. Proceedings of the 24th Meeting of the Cognitive Science Society (pp. 334-339). Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2002). Modelling the development of Dutch Optional Infinitives in MOSAIC. Proceedings of the 24th Meeting of the Cognitive Science Society (pp. 328-333). Mahwah, NJ: Erlbaum. pdf
Croker, S., Pine, J., & Gobet, F. (2001). Modeling children's case marking errors with MOSAIC. Proceedings of the 4th International Conference on Cognitive Modeling, pp. 55-60. Mahwah, NJ: Erlbaum. pdf
Freudenthal, D., Pine, J. M., & Gobet, F. (2001). Modelling the optional infinitive stage in MOSAIC: A generalisation to Dutch. Proceedings of the 4th International Conference on Cognitive Modeling, pp. 79-84. Mahwah, NJ: Erlbaum. pdf
Croker, S., Pine, J., & Gobet, F. (2000). Modelling optional infinitive phenomena: A computational account of tense optionality in children's speech. Proceedings of the 3rd International Conference on Cognitive Modelling, pp. 78-85. Veenendaal, The Netherlands: Universal Press. Abstract html
Jones, G., Gobet, F. & Pine, J. M. (2000). A process model of children's early verb use. Proceedings of the Twenty Second Annual Meeting of the Cognitive Science Society, Philadelphia, USA, 2000. Abstract html
Gobet, F., & Pine, J. (1997). Modeling the acquisition of syntactic categories. Proceedings of the 19th Annual Meeting of the Cognitive Science Society, p. 265-270. Hillsdale, NJ: Erlbaum. Abstract html
Lloyd-Kelly, M., Gobet, F., & Lane, P.C.R. (2016). Under pressure: How time-limited cognition explains statistical learning by 8-month old infants. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. pdf
Gobet, F. (2015). Vocabulary acquisition. In James D. Wright (Ed.), International encyclopedia of the social & behavioral sciences, 2nd edition, Vol 25 (pp. 226–231). Oxford: Elsevier.
Jones, G., Gobet, F., Freudenthal, D., Watson, S., & Pine, J. (2014). Why computational models are better than verbal theories: The case of nonword repetition. Developmental Science, 17, 298–310. pdf
Tamburelli, M., Jones, G., Gobet, F., & Pine, J. M. (2012). Computational modelling of phonological acquisition: Simulating error patterns in nonword repetition tasks. Language and Cognitive Processes, 27, 901-946. pdf
Jones, G., Tamburelli, M., Watson, S. E., Gobet, F., & Pine, J. M. (2010). Lexicality and frequency in Specific Language Impairment: Accuracy and error data from two non-word repetition tests. Journal of Speech, Language, and Hearing Research, 53, 1642-1655. pdf
Jones, G., Gobet, F., & Pine, J. M. (2008). Computer simulations of developmental change: The contributions of working memory capacity and long-term knowledge. Cognitive Science, 32, 1148-1176. Preprint
Jones, G., Gobet, F., & Pine, J. M. (2007). Linking working memory and long-term memory: A computational model of the learning of new words. Developmental Science, 10, 853-873. Preprint
Jones, G., Gobet, F., & Pine, J. (2005). Modelling vocabulary acquisition: An explanation of the link between the phonological loop and long-term memory. Journal of Artificial Intelligence and Simulation of Behaviour, 1, 509-522.
Jones, G., Gobet , F., & Pine, J. (2000). Learning novel sound patterns. Proceedings of the 3rd International Conference on Cognitive Modelling, 169-176. Veenendaal, The Netherlands: Universal Press. Abstract html
Jones, G., Gobet, F., & Pine, J. M. (1999). Modelling vocabulary acquisition: An explanation of the link between the phonological loop and long-term memory. (Tech. Rep. No. 61). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. postscript
Gobet, F. (1999). What do connectionnist simulations tell us? Journal of Child Language, 26, 242-245. Preprint
Gobet, F. (2002). Review of "Rondal, J. A.. Le langage: De l'animal aux origines du langage humain. (2000)". Swiss Journal of Psychology, 61, 51.
Pine, J. M., Gobet, F., Rowland, C. F. (1999). Review of Computational approaches to language acquisition. Journal of Child Language, 26, 203-208.
Gobet, F. (2015). Cognitive aspects of learning in formal and non-formal contexts: Lessons from expertise research. British Journal of Educational Psychology, Monograph Series II: Number 11, Learning beyond the Classroom, 23–37.
Gobet, F. (2012). Developing systemic theories requires formal methods. Commentary on Ziegler & Phillipson (2012). High Ability Studies, 23, 61-63. pdf
Cognitive training and transfer (see also chess)
Gobet, F. & Sala, G. (2023). Cognitive training: A field in search of a phenomenon. Perspectives on Psychological Science, 18, 125-141.
Sala, G., & Gobet, F. (2020). Cognitive and academic benefits of music training with children: A multilevel meta-analysis. Memory & Cognition, 48, 1429-1441.
Sala, G., & Gobet, F. (2020). Working memory training in typically developing children: A multilevel meta-analysis. Psychonomic Bulletin & Review, 27, 423-434. pdf
Aksayli, N. D., Sala, G., & Gobet, F. (2019). The cognitive and academic benefits of Cogmed: A meta-analysis. Educational Research Review, 27, 229-243. pdf
Sala, G., Aksayli, N. D., Tatlidil, K. S., Gondo, Y., & Gobet, F. (2019). Working memory training does not enhance older adults’ cognitive skills: A comprehensive meta-analysis. Intelligence. pdf
Sala, G., Aksayli, N. D., Tatlidil, K. S., Tatsumi, T., Gondo, Y., & Gobet, F. (2019). Near and far transfer in cognitive training: A second-order meta-analysis. Collabra: Psychology, 5(1), 18. pdf
Sala, G. & Gobet, F. (2019). Elvis has left the building: Correlational but not causal relationship between music skill and cognitive ability. Proceedings of the 41stAnnual Meeting of the Cognitive Science Society.
Sala, G., & Gobet, F. (2019). Cognitive training does not enhance general cognition. Trends in Cognitive Science, 23, 9-20. pdf
Gobet, F. (2019). Does cognitive training work? (Keynote address, The 35th BPS Cognitive Psychology Section Annual Conference). The Cognitive Psychology Bulletin, 4, 4-9.
Sala, G., Tatlidil, K. S., & Gobet, F. (2018). Video game training does not enhance cognitive ability: A comprehensive meta-analytic investigation. Psychological Bulletin, 144, 111-139. pdf
Sala, G., & Gobet, F. (2017). Does far transfer exist? Negative evidence from chess, music, and working memory training. Current Directions in Psychological Science, 26, 515–520. pdf
Sala, G., & Gobet, F. (2017). Working memory training in typically developing children: A meta-analysis of the available evidence. Developmental Psychology, 53, 671-685. pdf
Sala, G., & Gobet, F. (2017). When the music’s over. Does music skill transfer to children’s cognitive and academic skills? A meta-analysis. Educational Research Review, 20, 55-67. pdf
Sala, G. & Gobet, F. (2017). Far transfer: Does it exist? Proceedings of the 39th Annual Meeting of the Cognitive Science Society. pdf
Sala, G. & Gobet, F (in press). A reanalysis of the handedness-mathematics hypothesis using generalized additive models. Meta-Psychology.
Sala, G., Signorelli, M., Barsuola, M. G., Bolognese, M. & Gobet, F. (2017). The relationship between handedness and mathematics is non-linear and is moderated by gender, age, and type of task. Frontiers in Psychology, 9, 948. pdf
Sala, G. & Gobet, F. (2017). Spatial training and mathematics: The moderating effect of handedness. Proceedings of the 39th Annual Meeting of the Cognitive Science Society. pdf
Gobet. F. & Campitelli, G. (2007). The role of domain-specific practice, handedness and starting age in chess. Developmental Psychology, 43, 159-172. Preprint
Gobet, F. (2005). Chunking models of expertise: Implications for education. Applied Cognitive Psychology, 19, 183–204. Preprint
Gobet, F. & Wood, D. J. (1999). Expertise, models of learning and computer-based tutoring. Computers and Education, 33, 189-207.Abstract pdf
Noble, C., Sala, G., Lowe, M., Lingwood, J., Rowland, C., Gobet, F., & Pine, J. M. (2019). The impact of shared book reading on children’s language skills: A meta-analysis. Educational Research Review. pdf
Gobet, F. (2007). Review of “Underwood, G. (Ed.). (2005). Cognitive Processes in Eye Guidance.” Swiss Journal of Psychology, 66, 130.
Kohsom, C., & Gobet, F. (1997). Adding spaces to Thai and English: Effects on reading. Proceedings of the 19th Annual Meeting of the Cognitive Science Society, p. 388-393. Hillsdale, NJ: Erlbaum. Abstract postscript pdf
Gobet, F. (1997). On the (mis)use of visual aids. (Letter to the Editor). The Psychologist, 10, 394-395.
Gobet, F. (1997). Do Psychologists Apply their Knowledge of Cognitive Processes? A Note on the (Mis)Use of Visual Aids in Paper Presentations. (Tech. Rep. No. 48). University of Nottingham (UK): Department of Psychology, ESRC Centre for Research in Development, Instruction and Training. html
Gobet, F. (2002). Review of "Kennedy, A., Radach, R., Heller, D., & Pynte, J. (Eds). Reading as a perceptual process. (2000)". Swiss Journal of Psychology, 61, 46.
Gobet, F. (2020). Games. In S. Hupp and J. Jewell (Eds.), The encyclopedia of child and adolescent development. New York, Wiley.
Sala, G., Foley, J., & Gobet, F. (2017). The effects of chess instruction on pupils’ cognitive and academic skills: State of the art and theoretical challenges. Frontiers in Psychology, 8:238. pdf
Sala, G., & Gobet, F. (2017). Does chess instruction improve mathematical problem-solving ability? Two experimental studies with an active control group. Learning & Behaviour – Special Issue: Play, 45, 414–421. pdf
Sala, G., Gobet, F., Trinchero, R., & Ventura, S. (2016). Does chess instruction enhance mathematical ability in children? A three-group design to control for placebo effects. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. pdf
Sala, G., & Gobet, F. (2016, March). Chess instruction in schools: A quantitative review. ChessBase News (http://chessbase.com/).
Sala, G., & Gobet, F. (2016). Do the benefits of chess instruction transfer to academic and cognitive skills? A meta-analysis. Educational Research Review, 18, 46-57. pdf
Gobet, F. & Campitelli, G. (2012). I benefici educativi dell’istruzione scacchistica: Una revisione critica. In G. Sgrò (Ed.), A scuola con i Re: Educare e rieducare attraverso il gioco degli scacchi (pp. 85-106). Rome: Alpes Italia.
Campitelli, G., & Gobet, F (2007). Uma revisão crítica sobre os benefícios educativos da instrução enxadrística. In R. Filguth (Ed.), A Importância do Xadrez (pp. 183-197). Porto Alegre, Brasil: Artmed.
Gobet, F. & Jansen, P. (2007). Treinamento em xadrez: Uma abordagem científica. In R. Filguth (Ed.), A Importância do Xadrez (pp. 139-160). Porto Alegre, Brasil: Artmed.
Gobet, F., & Campitelli, G. (2006). Education and chess: A critical review. In T. Redman, Chess and education: Selected essays from the Koltanowski conference (pp. 124-143). Dallas, TX: Chess Program at the University of Texas at Dallas. pdf
Gobet, F. & Jansen, P. J. (2006). Training in chess: A scientific approach. In T. Redman, Chess and education: Selected essays from the Koltanowski conference (pp. 81-97). Dallas, TX: Chess Program at the University of Texas at Dallas. pdf
Gurtner, J.-L., Gex, C., Gobet, F. Nunez, R., & Restchitzki, J. (1990). La récursivite rend-elle l'intelligence artificielle? Revue Suisse de Psychologie, 49, 17-26.
Gobet, F., & Nunez, R. (1989). Learning recursion with LOGO: adolescents' difficulties. Proceedings of the 2nd Conference EUROLOGO, p. 398-409.
Retschitzki, J., Gex, C., Gobet, F., Gurtner, J.-.L., & Nunez, R. (1991). Pensee recursive et enseignement. In J.-L. Gurtner & J. Retschitzki: LOGO et apprentissages. Neuchatel: Delachaux et Niestle.
Gobet, F. (1992). Learned helplessness in chess players: The importance of task similarity and the role of skill. Psychological Research, 54, 38-43. Abstract Preprint
Gobet, F., & Retschitzki, J. (1991). Détresse apprise et jeu d'échecs : Role de la familiarité et de la similitude des tâches. Revue Suisse de Psychologie, 50, 97-110. Abstract
Burgoyne, A. P., Sala, G., Gobet, F., Macnamara, B. N., Campitelli, G., & Hambrick, D. Z. (in press). The relationship between cognitive ability and chess skill: A comprehensive meta-analysis. Intelligence. pdf
Gobet. F. & Chassy, P. (2008). Season of birth and chess expertise. Journal of Biosocial Science, 40, 313-316. Preprint
Bilalić, M., McLeod, P., & Gobet, F. (2007). Does chess need intelligence? A study with young chess players. Intelligence, 35, 457-470. Preprint
Gobet, F., Campitelli. G., & Waters, A. J. (2002). Rise of human intelligence: Comments on Howard (1999). Intelligence, 30, 303-311. Preprint
Waters, A., Gobet, F., & Leyden, G. (2002). Visuo-spatial abilities in chess players. British Journal of Psychology, 30, 303-311. Preprint
Gobet, F., & Campitelli, G. (2002). Intelligence and chess. In J. Retschitzki, & R. Haddad-Zubel, (Eds.). Step by step. Proceedings of the 4th Colloquium "Board Games in Academia", pp. 105-114. Fribourg: Editions Universitaires.
Gobet, F. (1985). Les échecs féminins victimes de leur complexe d'infériorité. Revue Suisse d'Echecs, 7, 316-319.
Gobet, F. (2000). Review of "Mackintosh, N. J. IQ and human intelligence. (1998)". 419 p. Oxford: Oxford University Press. Swiss Journal of Psychology, 59, 210.
Gobet, F. (2000). Review of "Roberts, Robbins, & Weiskrantz (Eds) The prefrontal cortex. Executive and cognitive functions. (1998)". 248 p. Oxford: Oxford University Press. Swiss Journal of Psychology, 59, 213.
Chassy, P., Lahaye, R., & Gobet, F. (2023). Templates but not emotions facilitate the information flow between long-term and working memory: A Sternberg study with chess experts. Journal of Expertise, 6, 37-55.
Bilalić, M., McLeod, P., & Gobet, F. (2007). Personality profiles of young chess players. Personality and Individual Differences, 42, 901-910. Preprint
Chassy, P., & Gobet, F. (2005). A model of emotional influence on memory processing. In L. Cañamero, Symposium on agents that want and like: Motivational and emotional roots of cognition and action. AISB 2005. University of Hertforshire, UK. pdf
Powell, J. L., Grossi D., Corcoran R., Gobet, F. & García-Fiñana, M. (2017). The neural correlates of theory of mind and their role during empathy and the game of chess: A functional magnetic resonance imaging study. Neuroscience, 355, 149-160. pdf
Yousaf, O. & Gobet, F. (2016). The effect of personal attitudes on information processing biases in religious individuals. Journal of Cognitive Psychology, 28, 366-373.
Russell, Y. I., Gobet, F., & Whitehouse, H. (2016). Mood, expertise, analogy and ritual: An experiment using the five-disc Tower of Hanoi. Religion, Brain and Behavior, 6, 67-87. pdf
Russell, Y. I., & Gobet, F. (2013). What is counterintuitive? Religious cognition and natural expectation. The Review of Philosophy and Psychology, 4, 715-749. pdf
Yousaf, O., & Gobet, F. (2013). The emotional and attitudinal consequences of religious hypocrisy: Experimental evidence using a cognitive dissonance paradigm. The Journal of Social Psychology, 153, 667-686. pdf
Russell, Y.I., Dunbar, R. I. M., & Gobet, F. (2011). Euphoria versus dysphoria: Differential cognitive roles in religion? In Masmoudi, S., Naceur, A., & Dai, D. Y. (Eds.). Attention, representation and performance: Integration of cognition, emotion and motivation (pp. 147-165). New York: Psychology Press.
Lane, P. C. R., & Gobet, F. (2001). Simple environments fail as illustrations of intelligence : A review of R. Pfeifer and C. Scheier: 'Understanding Intelligence'. Artificial Intelligence , 127, 261-267. [refereed book review] Preprint
Ward, C. R., Gobet, F., & Kendall, G. (2001). Evolving collective behavior in an artificial ecology. Artificial Life, 7, 191-209. pdf
Gobet, F. (1997). Can Deep Blue" make us happy? Reflections on human and artificial expertise. AAAI-97 Workshop: Deep Blue vs. Kasparov: The Significance for Artificial Intelligence, p. 20-23. AAAI Press: Technical Report WS-97-04. Abstract html
Javed, N., Gobet, F., & Lane, P. C. R. (2022). Simplification of genetic programs: A literature survey. Data Mining and Knowledge Discovery, 36, 1279-1300.
Javed, N. & Gobet. F. (2021). On-the-fly simplification of genetic programming models. SAC 2021: Proceedings of the 36th Annual ACM Symposium on Applied Computing, 464–471.
Gobet, F., Chassy, P., & Bilalić, M. (2011). Foundations of cognitive psychology. New York, NY: McGraw Hill.
Gobet, F. & Lane, P. C. R. (2023). Thinking and problem solving – Beyond Newell, Shaw, and Simon’s (1958) theory of human problem solving. In M. W. Eysenck & Groome, D. (Eds.), Cognitive psychology: Revisiting the classic studies (pp. 169-182). Thousand Oaks, CA: Sage.
Gobet, F. (2021). Thinking and problem solving. In D. Groome (Ed.) An introduction to cognitive psychology: Processes and disorders (pp. 207-228). London: Psychology Press.
Gobet, F., & Brace, N. (2021). Disorders of thinking and problem solving. In D. Groome (Ed.) An introduction to cognitive psychology: Processes and disorders (pp. 229-250). London: Psychology Press.
Gobet, F. & Lane, P. C. R. (2015). Human problem solving – Beyond Newell et al.’s (1958): Elements of a theory of human problem solving. In M. W. Eysenck & Groome, D. (Eds.), Cognitive psychology: Revisiting the classic studies (pp. 133-145). Thousand Oaks, CA: Sage.
Kangatharan, J., Uther, M., & Gobet, F. (2023). The effect of clear speech to foreign-sounding interlocutors on native listeners’ perception of intelligibility. Speech Communication.
Kangatharan, J., Uther, M., & Gobet, F. (2021). The effect of hyperarticulation on speech comprehension under adverse listening conditions. Psychological Research, 86, 1535-1546.
Kangatharan, J., Uther, M. & Gobet F. (2013). The comparison of vowel space in infant-directed speech and read speech. AIA-DAGA 2013 Conference on Acoustics. pdf
Kangatharan, J., Kuhn, L. K., Uther, M. & Gobet F. (2012). A-M I S-P-EA-K-I-NG C-L-E-AR-L-Y E-N-OU-GH? An investigation of the possible role of vowel hyperarticulation in speech communication. Proceedings of Acoustics2012. pdf
Vincent, C. J., Gobet , F., Parker, A., & Derrington, A. M. (2010). The red-green opponent channel provides a distinct time-based contribution towards visual recognition. Perception, 39, 1185-1198. pdf
Gobet, F. & Schiller, M. (Editors) (2014). Problem gambling: Cognition, prevention and treatment. London: Palgrave Macmillan.
Schiller, M. & Gobet, F. (2014). Introduction. In M. Schiller & F. Gobet (Eds.), Problem gambling: Cognition, prevention and treatment. Houndmills, UK: Palgrave Macmillan.
Schiller, M. & Gobet, F. (2014). Cognitive models of gambling and problem gambling. In M. Schiller & F. Gobet, (Eds.), Problem gambling: Cognition, prevention and treatment. Houndmills, UK: Palgrave Macmillan.
Schiller, M., & Gobet, F. (2012). A comparison between cognitive and AI models of blackjack strategy learning. KI 2012: 35th German Conference on Artificial Intelligence. Lecture Notes in Computer Science, Vol. 7526, pp. 143-155. London, UK: Springer-Verlag. pdf
Gobet, F., & Schiller (Eds.). Proceedings of the 2011 London Workshop on Problem Gambling – Abstracts. London, UK: Brunel University. pdf
Gobet, F., & Schiller, M. (2011). A manifesto for cognitive models of problem gambling. Proceedings of the European Cognitive Science Conference 2011. pdf
Yousaf, O., & Gobet, F. (2017). Hypocrisy paradigm. In F. M. Moghaddam (Ed.), The SAGE encyclopedia of political behavior (pp. 370-371). Thousand Oaks, CA: SAGE.
Russel, Y. I. & Gobet, F. (2012). Sinuosity and the Affect Grid: A method for adjusting repeated mood scores. Perceptual and Motor Skills, 114, 125-136. pdf
Gobet, F. (2009). Protocol analysis. In T. Bayne, A. Cleeremans, & P. Wilken (Eds.), The Oxford companion to consciousness (pp. 538-540). Oxford, UK: Oxford University Press. pdf
Gobet, F., & Ritter, F. E. (2000). Individual data analysis and Unified Theories of Cognition: A methodological proposal. Proceedings of the 3rd International Conference on Cognitive Modelling, pp. 150-157. Veenendaal, The Netherlands: Universal Press. Abstract html
Gobet, F., & Ritter, F. E. (2000, March. Slides of Talk). Individual data analysis and Unified Theories of Cognition: A methodological proposal. 3rd International Conference on Cognitive Modelling. Groningen, The Netherlands.
Carlos Cuartas Back to top
Gobet, F. (2011). In Memoriam: MI Carlos Cuartas (1940-2011). pdf
Gobet, F. (2016). From bounded rationality to expertise. In R. Frantz & L. Marsh, Minds, models and milieux: Commemorating the centenary of Herbert Simon’s birth (pp. 151-166). New York: Palgrave Macmillan.
Gobet, F. (2002). Travailler avec Herbert Simon. Revue d'Intelligence Artificielle,16, 29-37. Preprint
Gobet, F. (2001). Herbert Simon (1916-2001). The scientist of the artificial. International Computer Chess Association Journal, 24, 62-63. pdf
Gobet, F. (2001, August; Slides of Talk). Herb Simon's models of expertise. Twenty Third Annual Meeting of the Cognitive Science Society, University of Edinburgh, Scotland.
Gobet. F. & Musch, J. (2007). Ein Vater der kognitiven Psychologie: Adriaan Dingeman de Groot (1914–2006). Psychologische Rundschau, 58, 205-206. Preprint
Gobet, F. (2006). Adriaan de Groot: Marriage of two passions. International Computer Game Association Journal, 29, 236-244. Preprint Figure-1
Gobet, F. (1995). Adriaan de Groot: The mind of a chessplayer. Unpublished manuscript. Abstract
Gobet, F. (1999). The father of chess psychology. New in Chess, 8, 84-91. Abstract
(see also CHREST simulations of ageing)
Sala, G., Jopp, D., Gobet, F., Ogawa, M., Ishioka, Y., Masui, Y., Inagaki, H., Nakagawa, T., Yasumoto, S., Ishizaki, T., Arai, Y., Ikebe, K., Kamide, K., & Gondo, Y. (2019). The impact of leisure activities on older adults’ cognitive function, physical function, and mental health. PLoS ONE, 14 (11): e0225006. pdf
Beigi, M., Wilkinson, L., Gobet, F., Parton, A, Jahanshahi, M. (2016). Levodopa medication improves incidental sequence learning in Parkinson's disease. Neuropsychologia, 93, 53-60. pdf
Dalley, G., Gilhooly, K., Gilhooly, M., Barnett, J., Gobet, F., Harries, P., Niblock, S., Sullivan, M. P., & Victor, C. (2012). Risk, trust and relationships in an ageing society: A review of the evidence. London: Joseph Rowntree Foundation.
Risk Taking Back to top
Chassy, P., & Gobet, F. (2020). Influence of experts’ domain-specific knowledge on risk taking in adversarial situations. Journal of Expertise, 3, 88-100.
Chassy, P. & Gobet, F. (2015). Risk taking in adversarial situations: Civilization differences in chess experts. Cognition, 141, 36-40. pdf
Neuroscience Back to top
(see also Expertise and brain imaging)
Gobet, F. (2014). Review of “William R. Uttal: Mind and brain: A critical appraisal of cognitive neuroscience”. Minds and Machines, 24, 221-226. pdf
Gobet, F., Snyder, A., Bossomaier, T., & Harré, M. (2014). Designing a “better” brain: Insights from experts and savants. Frontiers in Psychology, 5, 470. doi: 10.3389/fpsyg.2014.00470 pdf
Bossomaier, T., Delaney, A., Crane, J., Gobet, F. & Harré, M. (2013). The neurological scaling of human expertise. In COGNITIVE 2013: The Fifth International Conference on Advanced Cognitive Technologies and Applications (p. 53-58). pdf
Bartlett, L. K., Pirrone, A., Javed, N., & Gobet, F. (2022). Computational scientific discovery in psychology. Perspectives on Psychological Science, 18, 178-189.
Pirrone, A., & Gobet, F. (2022). GEMS: Genetically evolving models in science (in Italian). Sistemi Intelligenti, 34, 107-115
Addis, M., Lane, P. C. R., Sozou, P., & Gobet, F., (2019). Semi-automatic generation of cognitive science theories. In M. Addis, P. C. R. Lane, P. D. Sozou & F. Gobet, Scientific discovery in the social sciences (pp. 155-171). New York: Springer.
Gobet, F., Addis, M., Lane, P. C. R. & Sozou, P. D. (2019). Introduction: Scientific discovery in the social sciences. In M. Addis, P. C. R. Lane, P. D. Sozou & F. Gobet, Scientific discovery in the social sciences (pp. 1-7). New York: Springer.
Sozou, P. D., Lane, P.C., Addis, M., & Gobet, F. (in press). Computational scientific discovery. In L. Magnani & T. Bertolotti (Eds),Springer handbook of model-based science. New York: Springer.
Addis, M., Sozou P. D., Lane, P., & Gobet, F. (2016). Computational scientific discovery and cognitive science theories. In V. Müller V. (Ed.) Computing and Philosophy: Selected Papers from IACAP 2014 (pp. 83-97). Synthese Library. Berlin: Springer. pdf
Addis, M., Gobet, F., Lane, P., & Sozou, P. (Editors) (2014).Proceedings of the 50th Anniversary Convention of the AISB: Computational Scientific Discovery Symposium. London: AISB.
Addis, M., Gobet, F., Lane, P. & Sozou, P. (2014). Computational scientific discovery. In M. Addis, F. Gobet, P. Lane, & P. Sozou (Eds.), Proceedings of the 50th Anniversary Convention of the AISB: Computational Scientific Discovery Symposium. London: AISB. pdf
Gobet, F., & Sala, G. (2019). How artificial intelligence can help us understand human creativity. Frontiers in Psychology, 10:1401. pdf
Automatic Generation of Theories
Lane, P.C.R., Gobet, F., Pirrone, A., Bartlett, L. & Javed, N. (2023). Synthesising cognitive models with genetic programming. Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference. University of Hertfordshire.
Pirrone, A., Lane, P. C. R., Bartlett, L., Javed, N., & Gobet, F. (2023). Heuristic search of heuristics. Proceedings of the forty-third SGAI International Conference on Artificial Intelligence. Springer: Lecture Notes in Artificial Intelligence.
Bartlett, L., Pirrone, A., Javed, N., Lane, P. C. R., & Gobet, F. (2023). Genetic programming for developing simple cognitive models. Proceedings of the 45th Annual Meeting of the Cognitive Science Society.
Lane, P.C.H., Javed, N., Pirrone, A., Bartlett, L., & Gobet, F. (2023). Evolving time-dependent cognitive models. Proceedings of the AISB Convention 2023. Swansea, UK.
Lane, P. C. R., Bartlett, L., Javed, N., Pirrone, A., & Gobet, F. (2022). Evolving Understandable Cognitive Models. International Conference on Cognitive Modeling 2022.
Pirrone, A., & Gobet, F. (2020). Modelling value-based decision-making policies using Genetic Programming: A proof of concept study. Swiss Journal of Psychology, 79, 113-121.
Lane, P. C. R., Sozou, P. D., Gobet, F., & Addis, M. (2016). Analysing psychological data by evolving computational models. In A.F.X. Wilhelm, H.A. Kestler (eds.), Analysis of Large and Complex Data, Studies in Classification, Data Analysis, and Knowledge Organization, Proceedings of ECDA 2014 (pp. 587-597). New York: Springer. pdf
Lane, P., Sozou, P., Addis, M., & Gobet, F. (2014). Evolving process-based models from psychological data using genetic programming. In M. Addis, F. Gobet, P. Lane, & P. Sozou (Eds.), Proceedings of the 50th Anniversary Convention of the AISB: Computational Scientific Discovery Symposium. London: AISB. pdf
Frias-Martinez , E., & Gobet, F. (2007). Automatic generation of cognitive theories using genetic programming. Minds & Machines, 17, 287-309. pdf
Gobet, F., & Parker, A. (2005). Evolving structure-function mappings in cognitive neuroscience using genetic programming. Swiss Journal of Psychology, 64, 231-239. Preprint
Gobet, F. (2004). Auto-mat suisse: Une pièce en trois tableaux/Swiss auto-mate: A play in three acts. In M. Bersier, V. Beckers, A. Pini, & F. Stoeckli (Eds.), La Suisse est Fondue (pp. 69-70, 192). Paris-Genève: Editions Des Syrtes. pdf
Gobet, F. (2005). Review of "Eysenck, M. W. Principles of cognitive psychology." Psychology Learning and Teaching, , 4, 128-129.
Gobet, F., & Campitelli, G. (2004). Review of "Glimcher, P. W. (2003). Decisions, uncertainty, and the brain: The science of neuroeconomics." AISB Quarterly, 117, 8.
Gobet, F. (2004). Review of "Sedlmeier, P. & Betsch, T. (Eds.) Etc. Frequency processing and cognition (2002)". Swiss Journal of Psychology, 63, 59.
Gobet, F. (2000). Review of "Oaksford, M., & Chater, N. (Eds.). Rational Models of Cognition (1998)" Swiss Journal of Psychology, 59, 211.
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