Emmanuel M. Pothos

Department of Psychology
City University London

http://ecx.images-amazon.com/images/I/41JRG81As9L._SX329_BO1,204,203,200_.jpg

pict

 

address: Social Sciences Building, 32-38 Whiskin Street, London EC1R 0JD

office: D439, Rhind building

tel: +44 (0) 207 040 0267

email: e.m.pothos at gmail.com

 

Background: I did a BSc in physics (1992, Imperial) followed by a DPhil in experimental psychology (1998, Oxford, supervised by Nick Chater).

Research interests: Decision making, similarity, and categorization. Attentional biases in behaviour. Learning and automatic behaviour.

Current main teaching:

 

PEM102: The foundations of rational choice.

 

PS2003: Cognitive psychology 2.

 

 

Current research sponsors

 

AFG-120502-013

Air Force Office of Scientific Research (AFOSR), Air Force Material Command, USAF, grant FA 8655-13-1-3044.

 

My project for the AFOSR concerns the application of quantum principles in decision making. We have been doing work for them that looks at particular decision biases which may arise from frequent responses. This three year project is due to end in June 2016.

 


My news

 

April 2016

 

Dr. Irina Basieva and myself landed a Marie Curie fellowship (two years), for Irina to work at City. Irina has a strong quantum foundations background and I am looking forward to working with her, starting autumn/ winter 2016. More good news on funding, as the Leverhulme Trust generously supported a two year project relating to quantum models of St. Petersburg’s paradox (due to start autumn 2016).

 

January 2016

 

I gave a talk on quantum cognition at University of Nice Sophia Antipolis (France), invited by Eric Guerci and Fabien Mathy. It’s great to see such strong research groups interested in the quantum cognition research programme!

 

(Pictures of Nice.)

 

I also became a programme chair for the 2016 Quantum Interaction conference. The QI conference is an excellent forum for exploring inter-disciplinary applications of quantum theory.

 

July 2015

 

I just came back from ASIC 2015, where I talked about constructive influences on decision making and a corresponding quantum model. This work was done with Lee White (who invented the experimental paradigm which has been used in this work) and James Yearsley. This ASIC meeting was probably one of the most useful conferences I have attended.

 

News Archive

 


My current research.  

I focus here on my work on decision theory, using quantum probability theory. I call quantum probability theory (just) the rules for to how to apply probabilities to events from quantum mechanics, without any of the physics.

Why should psychologists be interested in this work? Quantum theory provides an innovative descriptive framework, with great potential for surprising predictions. There is little doubt that Bayesian probability theory provides excellent descriptive coverage of much of human decision making. Equally, there have been results persistently problematic for Bayesian models, notably from the influential Tversky, Kahneman tradition. For such cases, we have been proposing decisions based on quantum theory.

Why should economists be interested? Quantum theory provides an alternative prescription for normative decision making. Consider for example the conjunction fallacy: classically, the conjunction fallacy is a normative error. However, if one employs quantum rules for the estimation of probabilities, then this is no longer the case. Understanding the implications for rationality from quantum theory is a major aspect of my work.

Why should physicists be interested? There is contextuality in cognition and in the real world. A hidden variables quantum approach may be a good way to model this contextuality, if the hidden variables are too awkward to use (e.g., neuropsychological variables). That is, we do not claim that there is ‘real’ incompatibility at the cognitive level. However, assuming incompatibility in cognitive modelling appears to provide powerful tools for modelling contextuality.

Fr an overview of the application of quantum theory in cognition, click here.

For one of the first quantum cognitive models, click here (conjunction fallacy) or here (disjunction fallacy).

For an interesting novel prediction from a quantum decision model, click here.

Jerome Busemeyer’s web pages have lots of relevant material (notably tutorials and a collection of relevant papers).

Jerome Busemeyer’s web pages have lots of relevant material (notably tutorials and a collection of relevant papers).

   


 

Journal publications

(my CV can be found here)

 

1.     Yearsley, J. M. & Pothos, E. M. (2016). Zeno’s paradox in decision making. Proceedings of the Royal Society B, 283, 20160291.

2.     Wilcockson, T. D. W. & Pothos, E. M. (in press). How cognitive biases can distort environmental statistics: introducing the Rough Estimation Task. Behavioral Pharmacology.

3.     White, L. C., Barque-Duran, A., & Pothos, E. M. (2015). An investigation of a quantum probability model for the constructive effect of affective evaluation. Philosophical Transactions of the Royal Society A, 374, 20150142.

4.     Conway, M. A., Pothos, E. M., & Turk, D. J. (in press). The self-relevance system? Cognitive Neuroscience.

5.     Wilcockson, T. D. W., Pothos, E. M., & Fawcett, A. (in press). Dyslexia and substance use in a university undergraduate population. Substance Use and Misuse.

6.     Cox, W. M., Fadardi, J. S., Hosier, S. G., & Pothos, E. M. (in press). Differential effects and temporal course of attentional and motivational training on excessive drinking. Experimental and Clinical Psychopharmacology.

7.     Perlman, A., Hoffman, Y., Tzelgov, Y., Pothos, E. M., & Edwards, D. J. (in press). The notion of contextual locking: inaccessibility to previously learnt items when appearing in a different context. Quarterly Journal of Experimental Psychology.

8.     Barque-Duran, A., Pothos, E. M., Yearsley, J. M., & Hampton, J. A. (2015). Patterns and evolution of moral behavior: moral dynamics in everyday life. Thinking & Reasoning, 22, 31-56.

9.     Pothos, E. M., Barque-Duran, A., Yearsley, J. M., Trueblood, J. S., Busemeyer, J. R., & Hampton, J. A. (in press). Progress and current challenges with the Quantum Similarity Model. Frontiers in Psychology.

10.   Wilcockson, T. D. W. & Pothos, E. M. (in press). The automatic nature of habitual goal-state activation in substance use; implications from a dyslexic population. Journal of Substance Use.

11.   Wilcockson, T. D. W. & Pothos, E. M. (in press). Measuring inhibitory processes for alcohol-related attentional biases: Introducing a novel attentional bias measure. Addictive Behaviors.

12.   Pothos, E. M. & Trueblood, J. S. (2015). Structured representations in a quantum probability model of similarity. Journal of Mathematical Psychology, 64, 35-43.

13.   White, L. C., Pothos, E. M., & Busemeyer, J. R. (2015). Insights from quantum cognitive models for organizational decision making. Journal of Applied Research in Memory and Cognition, 4, 229-238.

14.   Busemeyer, J. R., Wang, J., Pothos, E. M., & Trueblood, J. S. (2015). The conjunction fallacy, confirmation, and quantum theory: comment on Tentori, Crupi, & Russo (2013). Journal of Experimental Psychology: General, 144, 236-243.  

15.   Ziori, E., Pothos, E. M., & Dienes, Z. (2014). Role of prior knowledge in implicit and explicit learning of artificial grammars. Consciousness & Cognition, 28, 1-16.

16.   White, L. C., Pothos, E. M., & Busemeyer, J. R. (2014). Sometimes it does hurt to ask: the constructive role of articulating impressions. Cognition, 133, 48-64.

17.   Trueblood, J. S., Pothos, E. M., & Busemeyer, J. R. (2014). Quantum probability theory as a common framework for reasoning and similarity. Frontiers in Cognitive Science, 5.

18.   Pothos, E. M. & Reppa, I. (2014). The fickle nature of similarity change as a result of categorization. The Quarterly Journal of Experimental Psychology, 67, 2425-2438.

19.   Yearsley, J. M. & Pothos, E. M. (2014). Challenging the classical notion of time in cognition: a quantum perspective. Proceedings of the Royal Society B, 281, 1471-1479.

20.   Pothos, E. M. & Busemeyer, J. R. (2014). In search for a standard of rationality. Frontiers in Cognitive Science, 5, 1-3.

21.   Pothos, E. M., Shiffrin, R. M., & Busemeyer, J. R. (2014). The dynamics of decision making when probabilities are vaguely specified. Journal of Mathematical Psychology, 59, 6-17.  

22.   Laasonen, M., Vare, J., Oksanen-Hennah, H., Leppamaki, S., Tani, P., Harno, H., Hokkanen, L., Pothos, E. M., & Cleeremans, A. (2014). DyAdd: implicit learning in adult dyslexia and ADHD. Annals of Dyslexia, 64, 1-33.

23.   Pothos, E. M., Busemeyer, J. R., & Trueblood, J. S.  (2013). A quantum geometric model of similarity. Psychological Review, 120, 679-696.  

24.   Wang, Z., Busemeyer, J. R., Atmanspacher, H., &  Pothos, E. M. (2013). The potential of using quantum theory to build models of cognition. Topics in Cognitive Science, 5, 672-688.

25.   Blutner, R., Pothos, E. M., & Bruza, P. (2013). A quantum probability perspective on borderline vagueness. Topics in Cognitive Science, 5, 1-26.

26.   Pinhas, M., Pothos, E. M., & Tzelgov, Y. (2013). Zooming in and out from the mental number line: evidence for a number range effect. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 972-976.  

27.   Pothos, E. M. & Busemeyer, J. R. (2013). Can quantum probability provide a new direction for cognitive modeling? Behavioral & Brain Sciences, 36, 255-327.  (target article)

28.   Wills, A. J. & Pothos, E. M. (2012). On the adequacy of Bayesian evaluations of categorization models: Reply to Vanpaemel & Lee (2012). Psychological Bulletin, 138, 1259-1261 .

29.   Close, J. & Pothos, E. M. (2013). “Object categorization: reversals and explanations of the basic-level advantage” (Rogers & Patterson, 2007): a simplicity account. Quarterly Journal of Experimental Psychology, 65, 1615-1632.

30.   Busemeyer, J. R. & Pothos, E. M. (2012). Social projection and a quantum approach for behavior in Prisoner’s Dilemma. Psychological Inquiry, 23, 28-34.

31.   Edwards, D. J., Pothos, E. M., & Perlman, A. (2012). Relational vs. absolute representation in categorization. American Journal of Psychology, 125, 481-497.

32.   Perlman, A., Hahn, U., Edwards, D. J., & Pothos, E. M. (2012). Further attempts to clarify the importance of category variability for categorization. Journal of Cognitive Psychology, 24, 203-220.

33.   Wills, A. J. & Pothos, E. M. (2012). On the adequacy of current empirical evaluations of formal models of categorization. Psychological Bulletin, 138, 102-125.

34.   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.

35.   Milton, F. & Pothos. E. M. (2011). Category structure and the two learning systems of COVIS. European Journal of Neuroscience, 34, 1326-1336.

36.   Pothos, E. M. & Busemeyer, J. R. (2011). Formalizing heuristics in decision-making: a quantum probability perspective. Frontiers in Cognition, 2, 1-3.

37.   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.

38.   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.

40.   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.

41.   Pothos, E. M. (2010). An entropy model for Artificial Grammar Learning. Frontiers in Cognitive Science, 1, 1-13.

42.   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.

43.   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.

44.   Pothos, E. M., Hahn, U., & Prat-Sala, M. (2010). Contingent necessity vs. logical necessity in categorization. Thinking & Reasoning, 16, 45-65.

45.   Tapper, K. & Pothos, E. M. (2010). Development and validation of a food preoccupation questionnaire. Eating Behaviors, 11, 45-53.        

46.   Hahn, U., Prat-Sala, M., Pothos, E. M., & Brumby, D. (2010). Exemplar similarity and rule application. Cognition, 114, 1-18.  

47.   Kosnes, L., Pothos, E. M., & Tapper, K. (2010). Increased affective influence: situational complexity or deliberation time? American Journal of Psychology, 123, 29-38.  

48.   Pothos, E. M. & Tapper, K. (2010). Inducing a Stroop effect. Applied Cognitive Psychology, 24, 1021-1033.

49.   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.

50.   Nikolopoulos, D. S. & Pothos, E. M. (2009). Dyslexic participants show intact spontaneous categorization processes. Dyslexia, 15, 167-186.

51.   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.

52.   Pothos, E. M., Tapper, K., & Calitri, R. (2009). Cognitive and behavioral correlates of BMI among male and female undergraduate students. Appetite, 52, 797-800.

53.   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.

54.   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.

55.   Pothos, E. M., Hahn, U., & Prat-Sala, M. (2009). Similarity chains in the transformational paradigm. European Journal of Cognitive Psychology, 21, 1100-1120.

56.   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.

57.   Visser, I., Raijmakers, M. E. J., & Pothos, E. M. (2009). Individual strategies in artificial grammar learning. American Journal of Psychology, 122, 293-307.

58.   Pothos, E. M. (2008). Spontaneous categorization: A mechanism for the creation of (simple) concepts. Noisis, 3, 181-208. (in Greek).

59.   Tapper, K., Pothos, E. M., Fadardi, J. S., & Ziori, E. (2008). Restraint, disinhibition and food-related processing bias. Appetite, 51, 335-338.

60.   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.

61.   Pothos, E. M. & Close, J. (2008). One or two dimensions in spontaneous classification: A simplicity approach. Cognition, 107, 581-602.

62.   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.  

63.   Hatzidaki, A. & Pothos, E. M. (2008). Bilingual language representation and cognitive processes in translation. Applied Psycholinguistics, 29, 125-150.

64.   Pothos, E. M. (2007). Occam and Bayes in predicting category intuitiveness. Artificial Intelligence Review, 28, 257-274.

65.   Pothos, E. M. (2007). Theories of Artificial Grammar Learning. Psychological Bulletin, 133, 227-244.

66.   Hines, P., Pothos, E. M., & Chater, N. (2007). A non-parametric approach to simplicity clustering. Applied Artificial Intelligence, 21, 729-752.

67.   Cox, W. M., Pothos, E. M., & Hosier, S. G. (2007). Cognitive-motivational predictors of excessive drinkers’ success in changing. Psychopharmacology, 192, 499-510.

68.   Pothos, E. M. & Juola, P. (2007). Characterizing linguistic structure with mutual information. British Journal of Psychology, 98, 291-304.

69.   Pothos, E. M. & Wolff, J. G. (2006). The Simplicity and Power model for inductive inference. Artificial Intelligence Review, 26, 211-225.

70.   Cox, W. M., Fadardi, J. S., & Pothos, E. M. (2006). The addiction-Stroop test: Theoretical considerations and procedural recommendations. Psychological Bulletin, 132, 443-476.

71.   Pothos, E. M., Chater, N., & Ziori, E. (2006). Does stimulus appearance affect learning? The American Journal of Psychology, 119, 277-301.

72.   Pothos, E. M. (2005). Expectations about stimulus structure in implicit learning. Memory & Cognition, 33, 171-181.

73.   Pothos, E. M. & Chater, N. (2005). Unsupervised categorization and category learning. Quarterly Journal of Experimental Psychology, 58A, 733-752.

74.   Pothos, E. M. (2005). The rules versus similarity distinction. Behavioral & Brain Sciences, 28, 1-49. (target article)

75.   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.

76.   Pothos, E. M. & Kirk, J. (2004). Investigating learning deficits associated with dyslexia. Dyslexia, 10, 61-76.

77.   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.)

78.   Pothos, E. M. & Chater, N. (2002). A simplicity principle in unsupervised human categorization. Cognitive Science, 26, 303-343.

79.   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.

80.   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.

81.   Pothos, E. M. (2001). Open peer commentary. Context effects equally applicable in generalization and similarity. Behavioral and Brain Sciences, 24, 699-700.

82.   Pothos, E. M. & Juola, P. (2001). Open peer commentary. Linguistic structure and short term memory. Behavioral and Brain Sciences, 24, 138-139.

83.   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.

84.   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.

85.   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.

86.   Pothos, E. M. & Ward, R. (2000). Symmetry, repetition, and figural goodness: an investigation of the weight of evidence theory. Cognition, 75, B65-B78.

Other refereed publications and book chapters

1.      Trueblood, J. S., Mistry, P. K., & Pothos, E. M. (2015). A Quantum Bayes Net approach to causal reasoning. In E. Dzhafarov, R. Zhang, S. Joardan, & V. Cervantes (Eds.) Contextuality: from quantum physics to psychology, pp.429-444. World Scientific.

2.      Barque-Duran, A., Pothos, E. M., Yearsley, J. M., Hampton, J. A., Busemeyer, J. R., & Trueblood, J. S. (2015). Similarity judgments: from classical to complex vector psychological spaces. In E. Dzhafarov, R. Zhang, S. Joardan, & V. Cervantes (Eds.) Contextuality: from quantum physics to psychology, pp. 395-428. World Scientific.

3.      Ziori, E. & Pothos, E. M. (2015). Artificial Grammar Learning: An introduction to key issues and debates. In P. Rebuschat (Ed.), Implicit and explicit learning of languages, pp. 249-273. John Benjamins.

4.      Mistry, P. K., Trueblood, J. S., Vandekerckhove, J., & Pothos, E. M. (2015). A latent-mixture quantum probability model of causal reasoning within a Bayesian inference framework. In Proceedings of the 37th Annual Conference of the Cognitive Science Society.

5.      Yearsley, J. M., Pothos, E. M., Barque-Duran, A., & Hampton, J. A. (2015). Diagnosticity: some theoretical and empirical progress. In Proceedings of the 37th Annual Conference of the Cognitive Science Society.

6.      Yearsley, J. M. & Pothos, E. M. (2015). Towards an empirical test of realism in cognition. In Proceedings of the 37th Annual Conference of the Cognitive Science Society.

7.      Barque-Duran, A., Pothos, E. M., Yearsley, J. M., & Hampton, J. A. (2015). Patterns and evolution of moral behavior: moral dynamics in everyday life. In Proceedings of the 37th Annual Conference of the Cognitive Science Society.

8.      Yearsley, J. M., Pothos, E. M., Hampton, J. A., & Barque Duran, A. (2014). Towards a quantum probability theory of similarity judgments. In Proceedings of the Quantum Interaction Conference.

9.      Yearsley, J. M. & Pothos, E. M. (2014). Towards an empirical test of realism in cognition. In Proceedings of the Quantum Interaction Conference.

10.   Trueblood, J. S. & Pothos, E. M. (2014). A quantum probability approach to human causal reasoning. In Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin TX: Cognitive Science Society.

11.   Busemeyer, J. R., Wang, Z., & Pothos, E. M. (2014). Quantum models of cognition and decision. In J. R. Busemeyer, Z. Wang, J. T. Townsend, A. Eidels (Eds.) The Oxford handbook of computational and mathematical psychology, pp.369-389  Oxford University Press: Oxford.

12.   Proust, J., Pothos, E. M., Busemeyer, J. R., Cushman, F., Quintelier, K. J. P., Elqayam, S., Thomson, V. A., Evans, J. St. B. T., Over, D. E., Wilkinson, M. R., & Kreitler, S. (2013). Thinking about norms: epistemic, rational, and moral norms in human thinking. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin TX: Cognitive Science Society. (symposium)

13.   Reppa, I. & Pothos, E. M. (2013). Predicting similarity change as a result of categorization. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin TX: Cognitive Science Society.

14.   Pothos, E. M., Wang, Z., & Busemeyer, J. R. (2013). Half day tutorial on using quantum probability theory to model cognition. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin TX: Cognitive Science Society. (tutorial)

15.   White, L. C., Pothos, E. M., & Busemeyer, J. R. (2013). A quantum probability perspective on the nature of psychological uncertainty. In Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1599-1604). Austin TX: Cognitive Science Society.

16.   Pothos, E. M., Busemeyer, J. R., Shiffrin, R. M., Trueblood, J. S., Wang, Z., Blutner, R. K., Atmanspacher, H. (2011). The potential of quantum probability for modeling quantum processes. (Symposium.) In Proceedings of the 32nd Annual Conference of the Cognitive Science Society, LEA: Mahwah, NJ.

17.   Pothos, E. M. & Busemeyer, J. R. (2011). A quantum probability explanation for violations of symmetry in similarity judgments. In Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 2848-2854. LEA: Mahwah, NJ.

18.   Close, J., Hahn, U., Hodgetts, C. J., & Pothos, E. M. (2010). Rules and similarity in adult concept learning. In D. Mareschal, P. C. Quinn, & S. E. G. Lea (Eds.) The making of human concepts, pp. 29-52. Oxford: Oxford University Press.

19.   Pothos, E. M., Perlman, A., Edwards, D. J., Gureckis, T. M., Hines, P. M., & Chater, N. (2008). Modeling category intuitiveness. In Proceedings of the 30th Annual Conference of the Cognitive Science Society, LEA: Mahwah, NJ.

20.   Pothos, E. M., Tapper, K., Fadardi, J., & Ziori, E. (2006). How Do Cognitive Processes Support Over-eating? In Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2589, LEA: Mahwah, NJ.

21.   Hahn, U., Prat-Sala, M., & Pothos, E. M. (2002). How similarity affects the ease of rule application. In Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society, 411-416, LEA: Mahwah, NJ.

22.   Pothos, E. M. & Chater, N. (2001). Basic categories by simplicity. In U. Hahn & M. Ramscar (Eds.) Similarity and Categorization. pp. 51-72. Oxford: Oxford University Press.

23.   Pothos, E. M. & Chater, N. (2001). Category learning without labels--A simplicity approach. In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 774-779, LEA: Mahwah, NJ.

24.   Pothos, E. M. & Bailey, T. M. (1999). An entropy model of artificial grammar learning. In Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society, 549-554, LEA: Mahwah, NJ.

25.   Pothos, E. M. & Ward, R. (1999). An evaluation of the weight of evidence theory of figural goodness. In Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society, 811, LEA: Mahwah, NJ.

26.   Pothos, E. M., Juola, P., & Ellis, N. C. (1999). Linguistic structure and short term memory. In Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society, 810, LEA: Mahwah, NJ.

27.   Bailey, T. M. & Pothos, E. M. (1998). Unconfounding similarity and rules in artificial grammar learning. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 96-101, LEA: Mahwah, NJ.

28.   Pothos, E. M. & Chater, N. (1998). Generality of the abstraction mechanisms in artificial grammar learning. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 854-858, LEA: Mahwah, NJ.

29.   Pothos, E. M. & Chater, N. (1998). Rational categories. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 848-853, LEA: Mahwah, NJ.

30.   Juola, P., Bailey, T. M., & Pothos, E. M. (1998). Theory-neutral domain regularity measurements. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 555-560, LEA: Mahwah, NJ.

31.   Pothos, E. M. (1998). The magical number seven in language. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 1255, LEA: Mahwah, NJ.

32.   Pothos, E. M. & Bailey, T. M. (1997). Rules vs. similarity in artificial grammar learning. In Proceedings of the Similarity and Categorisation Workshop 97, 197-203, University of Edinburgh.

33.   Pothos, E. M. & Chater, N. (1997). Classification and prior assumptions about category "shape": new evidence concerning prototype and exemplar theories of categorization. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, 620-625,  LEA: Mahwah, NJ.

34.   Pothos, E. M. & Chater, N (1997). An information theoretic approach to non-parametric clustering. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, 1012, LEA: Mahwah, NJ.

 

 


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