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Emmanuel M. Pothos |
Department of Psychology |
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BSc Imperial
(1995)
Physics
DPhil Oxford
(1998)
Experimental
Psychology
Contact Details
Department
of Psychology
University
of Wales, Swansea
Swansea,
SA2 8PP, UK
email: e.m.pothos@swansea.ac.uk
tel: 044 – (0)
1792 29 5712
fax:
044 – (0) 1792 29 5679
Using mathematics to understand cognition.
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Quantum
mechanics: Can
we use the mathematical structure of quantum mechanics to model cognition? Quantum logic and probability can be seen as
generalizations of their classical counterparts. Psychologically, quantum
probability provides a natural framework for understanding certain key
behavioural phenomena (such as the violation of the sure thing principle or the
conjunction fallacy) which are difficult to reconcile with classical approaches.
See also here.
Minimum
description length: ‘Simple explanations are usually the best.’ This straightforward idea
can form a very powerful basis for modelling inductive inference in language,
categorization, decision making, and learning.
Experimental psychology and
neuroscience.
Categorization.
Changes in perception as a result of learning. Rules and similarity. Learning
processes. Attention. Decision making.
Applied psychology.
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Many kinds of
appetitive behaviour are associated with corresponding attentional biases. Do
such attentional biases have a causal role in enhancing the appetitive
behaviour? A lot of our work is concerned with whether food-related or
alcohol-related attentional biases can predict future changes in the
corresponding behaviour. See also here.
Recent books:
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Pothos, E. M. & Wills, A. J. (Eds.,
2011). Formal approaches in categorization. Cambridge University Press. |
Pothos, E. M. & Economou, E. (2010).
Topics in cognitive psychology. Gutenberg:
Athens (in Greek) |
Publications
(my CV
can be found here)
1. Close, J. & Pothos, E. M. (in press). “Object categorization: reversals and explanations of the basic-Level advantage” (Rogers & Patterson, 2007): a simplicity account. Quarterly Journal of Experimental Psychology.
2. Busemeyer, J. R. & Pothos, E. M. (in press). Social projection and a quantum approach for behavior in Prisoner’s Dilemma. Psychological Inquiry.
3. Edwards, D. J., Pothos, E. M., & Perlman, A. (in press). Relational vs. absolute representation in categorization. American Journal of Psychology.
4. Pothos, E. M. & Busemeyer, J. R. (2011). Formalizing heuristics in decision-making: a quantum probability perspective. Frontiers in Cognition, 2, 1-3.
5. Milton, F. & Pothos. E. M. (in press). Category structure and the two learning systems of COVIS. European Journal of Neuroscience.
6. Perlman, A., Hahn, U., Edwards, D. J., & Pothos, E. M. (in press). Further attempts to clarify the importance of category variability for categorization. Journal of Cognitive Psychology.
7. Wills, A. J. & Pothos, E. M. (in press). On the adequacy of current empirical evaluations of formal models of categorization. Psychological Bulletin.
8. Pothos, E. M., Perlman, A., Bailey, T. M., Kurtz, K., Edwards, D. J., Hines, P., & McDonnell, J. V. (2011). Measuring category intuitiveness in unconstrained categorization tasks. Cognition, 121, 83-100.
9. Pothos, E. M. & Busemeyer, J. R. (in press). Open peer commentary. The fallacy of normativism: falling in love with ourselves. A case for limited prescriptive normativism. Behavioral and Brain Sciences.
10. Pothos, E. M., Edwards, D. J., & Perlman, A. (2011). Supervised vs. unsupervised categorization: Two sides of the same coin? Quarterly Journal of Experimental Psychology, 64, 1692-1713.
11. Busemeyer, J. R., Pothos, E. M., Franco, R., & Trueblood, J. (2011). A quantum theoretical explanation for probability judgment errors. Psychological Review, 118, 193-218.
12. Pothos, E. M., Perry, G., Corr, P. J., Matthew, M., & Busemeyer, J. R. (2011). Understanding cooperation in the Prisoner’s Dilemma game. Personality and Individual Differences, 51, 210-215.
13. Pothos, E. M. (2010). An entropy model for Artificial Grammar Learning. Frontiers in Cognitive Science, 1, 1-13.
14. Tapper, K., Pothos, E. M., & Lawrence, A. D. (2010). Feast your eyes: hunger and trait reward drive predict attentional bias for food cues. Emotion, 10, 949-954.
15. Calitri, R., Pothos, E. M., Tapper, K., Brunstrom, J. M., & Rogers, P. J. (2010). Cognitive biases to healthy and unhealthy food words predict change in BMI. Obesity, 18, 2282-2287.
16. Pothos, E. M., Hahn, U., & Prat-Sala, M. (2010). Contingent necessity vs. logical necessity in categorization. Thinking & Reasoning, 16, 45-65.
17. Tapper, K. & Pothos, E. M. (2010). Development and validation of a food preoccupation questionnaire. Eating Behaviors, 11, 45-53.
18. Hahn, U., Prat-Sala, M., Pothos, E. M., & Brumby, D. (2010). Exemplar similarity and rule application. Cognition, 114, 1-18.
19. Kosnes, L., Pothos, E. M., & Tapper, K. (2010). Increased affective influence: situational complexity or deliberation time? American Journal of Psychology, 123, 29-38.
20. Pothos, E. M. & Tapper, K. (2010). Inducing a Stroop effect. Applied Cognitive Psychology, 24, 1021-1033.
21. Perlman, A., Pothos, E. M., Edwards, D. J., & Tzelgov, J. (2010). Task-relevant chunking in sequence learning. Journal of Experimental Psychology: Human Perception and Performance, 36, 649-661.
22. Nikolopoulos, D. S. & Pothos, E. M. (2009). Dyslexic participants show intact spontaneous categorization processes. Dyslexia, 15, 167-186.
23. Pothos, E. M. & Wood, R. L. (2009). Separate influences in learning: evidence from artificial grammar learning with traumatic brain injury patients. Brain Research, 1275, 67-72.
24. Pothos, E. M., Tapper, K., & Calitri, R. (2009). Cognitive and behavioral correlates of BMI among male and female undergraduate students. Appetite, 52, 797-800.
25. Pothos, E. M. & Busemeyer, J. R. (2009). A quantum probability explanation for violations of 'rational' decision theory. Proceedings of the Royal Society B, 276, 2171-2178.
26. Pothos, E. M. & Bailey, T. M. (2009). Predicting category intuitiveness with the rational model, the simplicity model, and the Generalized Context Model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 1062-1080.
27. Pothos, E. M., Hahn, U., & Prat-Sala, M. (2009). Similarity chains in the transformational paradigm. European Journal of Cognitive Psychology, 21, 1100-1120.
28. Pothos, E. M., Calitri, R., Tapper, K., Brunstrom, J. M., & Rogers, P. J. (2009). Comparing measures of cognitive bias relating to eating behavior. Applied Cognitive Psychology, 23, 936-952.
29. Visser, I., Raijmakers, M. E. J., & Pothos, E. M. (2009). Individual strategies in artificial grammar learning. American Journal of Psychology, 122, 293-307.
30. Pothos, E. M. (2008). Spontaneous categorization: A mechanism for the creation of (simple) concepts. Noisis, 3, 181-208. (in Greek).
31. Tapper, K., Pothos, E. M., Fadardi, J. S., & Ziori, E. (2008). Restraint, disinhibition and food-related processing bias. Appetite, 51, 335-338.
32. Brunstrom, J. M., Rogers, P. J., Pothos, E. M., Calitri, R., & Tapper, K. (2008). Estimating everyday portion size using a ‘method of constant stimuli’: In a student sample, portion size is predicted by gender, dietary behaviour, and hunger, but not BMI. Appetite, 51, 296-301.
33. Pothos, E. M. & Close, J. (2008). One or two dimensions in spontaneous classification: A simplicity approach. Cognition, 107, 581-602.
34. Bailey, T. M. & Pothos, E. M. (2008). AGL StimSelect: Software for automated selection of stimuli for Artificial Grammar Learning. Behavior Research Methods, 40, 164-176.
35. Hatzidaki, A. & Pothos, E. M. (2008). Bilingual language representation and cognitive processes in translation. Applied Psycholinguistics, 29, 125-150.
36. Pothos, E. M. (2007). Occam and Bayes in predicting category intuitiveness. Artificial Intelligence Review, 28, 257-274.
37. Pothos, E. M. (2007). Theories of Artificial Grammar Learning. Psychological Bulletin, 133, 227-244.
38. Hines, P., Pothos, E. M., & Chater, N. (2007). A non-parametric approach to simplicity clustering. Applied Artificial Intelligence, 21, 729-752.
39. Cox, W. M., Pothos, E. M., & Hosier, S. G. (2007). Cognitive-motivational predictors of excessive drinkers’ success in changing. Psychopharmacology, 192, 499-510.
40. Pothos, E. M. & Juola, P. (2007). Characterizing linguistic structure with mutual information. British Journal of Psychology, 98, 291-304.
41. Pothos, E. M. & Wolff, J. G. (2006). The Simplicity and Power model for inductive inference. Artificial Intelligence Review, 26, 211-225.
42. Cox, W. M., Fadardi, J. S., & Pothos, E. M. (2006). The addiction-Stroop test: Theoretical considerations and procedural recommendations. Psychological Bulletin, 132, 443-476.
43. Pothos, E. M., Chater, N., & Ziori, E. (2006). Does stimulus appearance affect learning? The American Journal of Psychology, 119, 277-301.
44. Pothos, E. M. (2005). Expectations about stimulus structure in implicit learning. Memory & Cognition, 33, 171-181.
45. Pothos, E. M. & Chater, N. (2005). Unsupervised categorization and category learning. Quarterly Journal of Experimental Psychology, 58A, 733-752.
46. Pothos, E. M. (2005). The rules versus similarity distinction. Behavioral & Brain Sciences, 28, 1-49. (target article)
47. Pothos, E. M., Chater, N., & Stewart, A. J. (2004). Information about the logical structure of a category affects generalization. British Journal of Psychology, 95, 371-386.
48. Pothos, E. M. & Kirk, J. (2004). Investigating learning deficits associated with dyslexia. Dyslexia, 10, 61-76.
49. Pothos, E. M., & Cox, W. M. (2002). Cognitive bias for alcohol-related information in inferential processes. Drug and Alcohol Dependence, 66(3), 235-241. (Included in abstracts collection: Alcohol Research (2002), vol. 7, p. 222.)
50. Pothos, E. M. & Chater, N. (2002). A simplicity principle in unsupervised human categorization. Cognitive Science, 26, 303-343.
51. Cox, W. M., Pothos, E. M., Laberg, J., & Johnsen, B. (2001). Methodological issues attached to the alcohol Stroop paradigm: Comments on a paper by Sharma, Albery, and Cook (2001). Addiction, 96, 1261-1265.
52. Leek, E. C. & Pothos, E. M. (2001). Open peer commentary. What is specific about category-specificity? Fractionating patterns of impairments and the spurious living/nonliving dichotomy. Behavioral and Brain Sciences, 24, 487-488.
53. Pothos, E. M. (2001). Open peer commentary. Context effects equally applicable in generalization and similarity. Behavioral and Brain Sciences, 24, 699-700.
54. Pothos, E. M. & Juola, P. (2001). Open peer commentary. Linguistic structure and short term memory. Behavioral and Brain Sciences, 24, 138-139.
55. Cox, W. M., Pothos, E. M., & Bauer, D. (2000). More recommendations for the Stroop colour-naming task and addictive behaviours: A Reply to Faunce and Job. Addiction, 95, 1440-1442.
56. Pothos, E. M. & Bailey, T. M. (2000). The importance of similarity in artificial grammar learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 847-862.
57. Pothos, E. M. & Hahn, U. (2000). So concepts aren't definitions, but do they have necessary *or* sufficient features? British Journal of Psychology, 91, 439-450.
58. Pothos, E. M. & Ward, R. (2000). Symmetry, repetition, and figural goodness: an investigation of the weight of evidence theory. Cognition, 75, B65-B78.
Tools
Journals
Students' area
Undergraduate students please click here to
download the overheads for my categorization lectures in PTRII. Note this is a
large file! (about 8 MB).
MSc students please click here
to download the Generic Research skills description.