Welcome to the research page of Emmanuel Pothos
My
primary interest concerns the application of quantum theory into cognitive
modelling. Read my recent review on quantum cognition here. Jerome Busemeyer's web pages have lots of relevant material (notably tutorials
and a collection of relevant papers).
I am based at the Department
of Psychology, City, University of London.
address: Social Sciences Building,
32-38 Whiskin Street, London EC1R 0JD
office: D439, Rhind building
tel: +44 (0) 207 040 0267
People
PRINCIPAL INVESTIGATOR
Emmanuel M. Pothos Emmanuel is a professor of
psychology at City, University of London. His current research concerns all
applications of quantum theory in cognition, especially decision making. He
has also worked on categorization, artificial grammar learning, and attentional
biases. |
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PhD STUDENTS
Toscane Bessis Toscane began her PhD in 2023 under
the supervision of Emmanuel Pothos and James Yearsley. She is interested in
quantum models of cognition, with a focus on probability updating and
decision-making. In her ongoing research, she is exploring the intricacies of
the less-is-more effect. Toscane holds an MSci in
Theoretical Physics and Applied Mathematics from the University of Birmingham
and an MSc in Behavioural and Economic Science from the University of
Warwick. |
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Zo Ebelt |
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Talel Naccache Talel is a PhD candidate on quantum theory applied to causal
analysis based in the School of Mathematics. His background includes being change
management consultant and mathematician with main domain expertise in
financial derivatives products and machine learning (Data scientist, MSc). |
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Stephan Treiss Stephan Treiss began his part-time PhD in 2020. His
primary research interest lies in gaining a better understanding of the
impact of incidental emotions on decision-making. Currently, he is focused on
studying how distinct emotions (happiness, sadness, anger, and fear)
influence risk and loss aversion. |
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Funding
We started (October 2022) a three-year project for AFOSR/
EOARD on " Limitations
in bounded rational agents. " Can too much information be
counterproductive in an argument? The project is run collaboratively with James
Yearsley. Toscane Bessis is working on the project.
Read the recent review on quantum cognition here.
Dr.
Irina Basieva's Marie Curie fellowship project on
ambivalence is now completed. Please click here for the project web page!
Non-academic
October 2023: Expanding
London’s Ulez has sparked fractious debate – psychologists explain how it can
be de-escalated. In the Conversation.
March, 2023: Why
so few UK homes are installing air-source heat pumps – and how to encourage takeup. In the Conversation.
Resources and useful links
If you are looking for the StimSelect
Matlab package, for constructing AGL stimuli, this
can be found here.
The full reference is this:
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.
Publications
1.
Widdows, D., Rani, J., & Pothos, E. M. (in press).
Quantum circuit components for cognitive decision-making. Entropy.
2.
Waddup, O. J., Yearsley, J. M., Blasiak, P., & Pothos,
E. M. (in press). Temporal Bell inequalities in cognition. Psychonomic
Bulletin & Review.
3.
Gallus, C., Pothos, E. M., Blasiak, P., Yearsley, J. M.,
& 10. Wojciechowski, B. (in press).
Bell correlations outside physics. Scientific Reports.
4.
Epping, G., Fisher, E. L., Zeleznikov-Johnston,
A. M., Pothos, E. M., & Tsuchiya, N. (2023). A quantum geometric framework
for modeling color
similarity judgments. Cognitive Science, e13231.
5.
Cantarutti, S. & Pothos, E. M. (in press). Trust
during COVID-19: Which factors matter most? Psychology, Health &
Medicine.
6.
Gallus, C., Blasiak, P., & Pothos, E. M. (2022).
Quantifying and interpreting connection strength in macro- and microscopic
systems: Lessons from Bell’s approach. Entropy, 24, 364.
7. Pothos, E. M. & Busemeyer,
J. M. (2022). Quantum cognition. Annual Review of Psychology, 73,
749-778.
8. Rosner, A., Basieva, I.,
Barque-Duran, A., Glöckner, A., von Helversen, B., Khrennikov, A., & Pothos, E. M. (2022).
Ambivalence in cognition. Cognitive Psychology, 134, 101464.
9.
Waddup, O., Blasiak, P., Yearsley, J. M., Wojciechowski,
B. W., & Pothos, E. M. (2021). Sensitivity to context in human
interactions. Mathematics, 9, 2784.
10. Pothos, E. M.
& Pleskac, T. J. (2022). Rethinking rationality. Topics in Cognitive
Science, 14, 451-466.
11. Cantarutti,
S. & Pothos, E. M. (2021). How healthcare structures and communication
delivery influence trust: a parallel-group randomized
control trial. Journal of Public Health, doi:
10.1007/s10389-021-01620-z.
12. Wojciechowski,
B. W., Izydorczyk, B., Blasiak, P., Yearsley, J. M.,
White, L. C., & Pothos, E. M. (2022). Constructive biases in clinical
judgment. Topics in Cognitive Science, 14, 508-527.
13. Yearsley, J.
M., Pothos, E. M., Barque-Duran, A., Trueblood, J. S., & Hampton, J. A.
(2022). Context effects in similarity judgments. Journal of Experimental
Psychology: General, 151, 711-717.
14. Blasiak, P., Pothos, E. M.,
Yearsley, J. M., Gallus, C., & Borsuk, E. (2021). Violations of locality
and free choice are equivalent resources in Bell experiments. Proceedings
of the National Academy of Sciences, 118, e2020569118.
15. Pothos, E.
M., Waddup, O., Kouassi, P., & Yearsley, J. M. (2021). What is rational and
irrational in human decision making. Quantum Reports, 3, 242-252.
16. Wilcockson,
T. D. W., Pothos, E. M., Osborne. A. M., Crawford, T. J. (2021). Top-down and
bottom-up attentional biases for smoking-related stimuli: comparing dependent
and non-dependent smokers. Addictive Behaviors,
118, 106886.
17. Pothos, E. M., Lewandowsky, S.,
Basieva, I., Barque-Duran, A., Tapper, K., & Khrennikov, A. (2021).
Information overload for (bounded) rational agents. Proceedings of the
Royal Society B, 288, 20202957.
18. Barque-Duran,
A. & Pothos, E. M. (2021). Untangling Decision Routes in Moral Dilemmas:
The Refugees’ Dilemma. American Journal of Psychology, 134,
143-166.
19. Laasonen, M.,
Lahti-Nuuttila, P., Leppamaki,
S., Tani, P., Wikgren, J., Harno, H., Oksanen-Hennah, H.,
Pothos, E. M., Cleeremans, A., Dye, M. W. G.,
Cousineau, D., & Hokkanen, L. (2020). Project DyAdd: Nonlinguistic theories of
dyslexia predict intelligence. Frontiers Human Neuroscience,
10.3389/fnhum.2020.00316.
20. White, L. C.,
Pothos E. M., & Jarrett, M. (2020). The cost of asking: how evaluations
bias subsequent judgments. Decision, 7, 259-286.
21. Atmanspacher,
H., Basieva, I., Busemeyer, J., Khrennikov, A., Pothos, E., Shiffrin, R., &
Wang, Z. (2020). What are the appropriate axioms of rationality for reasoning
under uncertainty with resource-constrained systems? Behavioral
and Brain Sciences, 43, E2.
22. Broekaert, J. B., Busemeyer, J.
R., & Pothos, E. M. (2020). The disjunction effect in two-stage simulated
gambles. An experimental study and comparison of a heuristic logistic, Markov
and quantum-like model. Cognitive Psychology, 117, 101262.
23. Wilcockson,
T.D.W., Pothos, E.M., & Cox, W.M. (2020). An online cognitive bias task:
The Rough Estimation Task using Qualtrics. Behavioural Pharmacology,
31, 97-101.
24. Pothos, E.
M., Basieva, I., Khrennikov, A., & Yearsley, J. M. (2019). Perspectives on
correctness in probabilistic inference from psychology. The Spanish
Journal of Psychology, 22, E55.
25. Laasonen, M.,
Smolander, S., Lahti-Nuuttila,
P., Leminen, M., Lajunen,
H., Heinonen, K. Pesonen,
A., Bailey, T. M., Pothos, E. M., Kujala, T., Leppänen,
P., Bartlett, C. W., Geneid, A., Lauronen,
L., Service, E., Kunnari, S., & Arkkila, E. (2018). Understanding developmental language
disorder – the Helsinki longitudinal SLI study (HelSLI):
a study protocol. BMC Psychology, 6:24.
26. Mistry, P.
K., Pothos, E. M., Vandekerckhove, J., & Trueblood, J. S. (2018).
A quantum probability account of individual differences in causal reasoning. Journal
of Mathematical Psychology, 87, 76-97.
27. Khrennikov,
A., Basieva, I., Pothos, E. M., & Yamato, I. (2018). Quantum probability in
decision making from quantum information representation of neuronal states. Scientific
Reports, 8, 16225.
28. Wilcockson,
T. D. W., Pothos, E. M., & Parrott, A. C. (2019). Substance usage intention
does not affect attentional bias: implications from Ecstasy/MDMA users and
alcohol drinkers. Addictive Behaviors, 88, 175-181.
29. Asano, M.,
Basieva, I., Pothos, E. M., & Khrennikov, A. (2018). State entropy and
differentiation phenomenon. Entropy, 20, 394-408.
30. Khrennikov,
A., Bagarello, F., Basieva, I., & Pothos, E. M. (2018). Quantum like
modelling of decision making: quantifying uncertainty
with the aid of the Heisenberg-Robertson inequality. Journal of Mathematical
Psychology, 84, 49-56.
31. Wojciechowski,
B. W. & Pothos, E, M. (2018). Is there a conjunction fallacy in legal
probabilistic making? Frontiers in Psychology, 9, article
391.
32. Basieva, I., Khrennikova, P., Pothos, E. M., Asano, M., &
Khrennikov, A., (2018). Quantum-like model of subjective expected utility. Journal
of Mathematical Economics, 78, 150-162.
33. Lea, S. E.
G., Pothos, E. M., Wills, A. J., Leaver, L. A., Ryan, C. M. E., & Meier, C.
(2018). Multiple feature use in pigeons’ category discrimination: The influence
of stimulus set structure and the salience of stimulus differences. Journal
of Experimental Psychology: Animal Learning and Cognition, 44, 114-127.
34. Broekaert, J.,
Basieva, I., Blasiak, P., & Pothos, E. M. (2017). Quantum-like dynamics
applied to cognition: A consideration of available options. Proceedings
of the Royal Society A, 375, 20160387.
35. Barque-Duran,
A., Pothos, E. M., Hampton, J. A., & Yearsley, J. M. (2017). Contemporary
morality: moral judgments in digital contexts. Computers in Human Behavior, 75, 184-193.
36. Trueblood,
J. S., Yearsley, J. M., & Pothos, E. M.
(2017). A quantum probability framework for human probabilistic inference. Journal
of Experimental Psychology: General, 146, 1307-1341.
37. Yearsley, J.
M., Barque-Duran, A., Scerrati, E., Hampton, J. A.,
& Pothos, E. M. (2017). The triangle inequality constraint in similarity
judgments. Progress in Biophysics and Molecular Biology, 130, 26-32.
38. Pothos,
E. M., Busemeyer, J. R., Shiffrin, R. M., & Yearsley, J. M. (2017). The
rational status of quantum cognition. Journal of Experimental Psychology: General,
146, 968-987.
39. Hoffman, Y.
S. G., Perlman, A., Orr-Urtreger, B., Tzelgov, J. Pothos, E. M., & Edwards, D. J. (2017).
Unitization of route knowledge. Psychological Research, 81,
1241-1254.
40. Basieva, I.,
Pothos, E. M., Trueblood, J. Khrennikov, A., & Busemeyer, J. R. (2017).
Quantum probability updating from zero priors (by-passing Cromwell’s rule). Journal
of Mathematical Psychology, 77, 58-69.
41. Perlman, A.,
Hoffman, Y., Tzelgov, Y., Pothos, E. M., &
Edwards, D. J. (2016). The notion of contextual locking: inaccessibility to
previously learnt items when appearing in a different context. Quarterly
Journal of Experimental Psychology, 69, 410-431.
42. Yearsley,
J. M. & Pothos, E. M. (2016). Zeno’s paradox in decision making. Proceedings
of the Royal Society B, 283, 20160291.
43. Wilcockson,
T. D. W. & Pothos, E. M. (2016). How cognitive biases can distort
environmental statistics: introducing the Rough Estimation Task. Behavioral Pharmacology, 27, 165-172.
44. Conway, M.
A., Pothos, E. M., & Turk, D. J. (2016). The self-relevance system? Cognitive
Neuroscience, 7, 20-21.
45. Wilcockson,
T. D. W., Pothos, E. M., & Fawcett, A. (2016). Dyslexia and substance use
in a university undergraduate population. Substance Use and Misuse, 51, 15-22.
46. 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.
47. Cox, W. M.,
Fadardi, J. S., Hosier, S. G., & Pothos, E. M. (2015). Differential effects
and temporal course of attentional and motivational training on excessive
drinking. Experimental and Clinical Psychopharmacology, 23, 445-454.
48. 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.
49. Pothos, E.
M., Barque-Duran, A., Yearsley, J. M., Trueblood, J. S., Busemeyer, J. R.,
& Hampton, J. A. (2015). Progress and current challenges with the Quantum
Similarity Model. Frontiers in Psychology, 6, 205.
50. Wilcockson,
T. D. W. & Pothos, E. M. (2015). The automatic nature of habitual
goal-state activation in substance use; implications from a dyslexic
population. Journal of Substance Use, 21, 244-248.
51. Wilcockson,
T. D. W. & Pothos, E. M. (2015). Measuring inhibitory processes for
alcohol-related attentional biases: Introducing a novel attentional bias
measure. Addictive Behaviors, 44, 88-93.
52. Pothos, E. M.
& Trueblood, J. S. (2015). Structured representations in a quantum
probability model of similarity. Journal of Mathematical Psychology,
64, 35-43.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60.Pothos, E. M. & Busemeyer, J. R. (2014).
In search for a standard of rationality. Frontiers in Cognitive Science, 5,
1-3.
61. 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.
62. 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.
63. Pothos,
E. M., Busemeyer, J. R., & Trueblood, J. S.
(2013). A quantum geometric model of similarity. Psychological
Review, 120, 679-696.
64. 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.
65. Blutner, R., Pothos, E. M., &
Bruza, P. (2013). A quantum probability perspective on borderline vagueness. Topics
in Cognitive Science, 5, 1-26.
66.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.
67. 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) Web
of Science rank 200/7480 in the category Psychology Biological, for 2010- 2014
period.
68.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 .
69.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.
70. Busemeyer, J. R. & Pothos, E.
M. (2012). Social projection and a quantum approach for behavior
in Prisoner’s Dilemma. Psychological Inquiry, 23, 28-34.
71. Edwards, D. J., Pothos, E. M.,
& Perlman, A. (2012). Relational vs. absolute representation in
categorization. American Journal of Psychology, 125, 481-497.
72. 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.
73. Wills, A. J. & Pothos, E. M. (2012). On
the adequacy of current empirical evaluations of formal models of
categorization. Psychological Bulletin, 138, 102-125.
74. 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.
75. Milton, F. & Pothos. E. M.
(2011). Category structure and the two learning systems of COVIS. European
Journal of Neuroscience, 34, 1326-1336.
76. Pothos, E. M. & Busemeyer, J.
R. (2011). Formalizing heuristics in decision-making: a quantum probability
perspective. Frontiers in Cognition, 2, 1-3.
77. 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.
78. 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.
79. Busemeyer, J. R., Pothos, E. M., Franco, R.,
& Trueblood, J. (2011). A quantum theoretical explanation for probability
judgment errors. Psychological Review, 118, 193-218.
80.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.
81. Pothos, E. M. (2010). An entropy
model for Artificial Grammar Learning. Frontiers in Cognitive Science, 1,
1-13.
82. 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.
83. 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.
84. Pothos, E. M., Hahn, U., &
Prat-Sala, M. (2010). Contingent necessity vs. logical necessity in
categorization. Thinking & Reasoning, 16, 45-65.
85. Tapper, K. & Pothos, E. M.
(2010). Development and validation of a food preoccupation questionnaire. Eating
Behaviors, 11, 45-53.
86.Hahn, U., Prat-Sala, M., Pothos,
E. M., & Brumby, D. (2010). Exemplar similarity and rule application. Cognition,
114, 1-18.
87. Kosnes, L., Pothos, E. M., & Tapper,
K. (2010). Increased affective influence: situational complexity or
deliberation time? American Journal of Psychology, 123, 29-38.
88. Pothos, E. M. & Tapper, K.
(2010). Inducing a Stroop effect. Applied Cognitive Psychology, 24,
1021-1033.
89.
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.
90.Nikolopoulos,
D. S. & Pothos, E. M. (2009). Dyslexic participants show intact spontaneous
categorization processes. Dyslexia, 15, 167-186.
91. 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.
92. Pothos, E. M., Tapper, K., & Calitri, R. (2009). Cognitive and behavioral
correlates of BMI among male and female undergraduate students. Appetite,
52, 797-800.
93.
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.
94.
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.
95. Pothos,
E. M., Hahn, U., & Prat-Sala, M. (2009). Similarity chains in the
transformational paradigm. European Journal of Cognitive Psychology,
21, 1100-1120.
96.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.
97. Visser,
I., Raijmakers, M. E. J., & Pothos, E. M. (2009).
Individual strategies in artificial grammar learning. American Journal of Psychology,
122, 293-307.
98. Pothos,
E. M. (2008). Spontaneous categorization: A mechanism for the creation of
(simple) concepts. Noisis, 3, 181-208. (in
Greek).
99. Tapper,
K., Pothos, E. M., Fadardi, J. S., & Ziori, E. (2008). Restraint, disinhibition and food-related processing bias. Appetite,
51, 335-338.
100.
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.
101.
Pothos, E. M.
& Close, J. (2008). One or two dimensions in spontaneous classification: A
simplicity approach. Cognition, 107, 581-602.
102.
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.
103.
Hatzidaki, A. &
Pothos, E. M. (2008). Bilingual language representation and cognitive processes
in translation. Applied Psycholinguistics, 29, 125-150.
104.
Pothos,
E. M. (2007). Occam and Bayes in predicting category intuitiveness. Artificial
Intelligence Review, 28, 257-274.
105.
Pothos, E. M. (2007). Theories of
Artificial Grammar Learning. Psychological Bulletin,
133, 227-244.
106.
Hines, P., Pothos, E. M., & Chater, N. (2007). A
non-parametric approach to simplicity clustering. Applied Artificial Intelligence,
21, 729-752.
107.
Cox, W. M., Pothos, E. M., & Hosier, S.
G. (2007). Cognitive-motivational predictors of excessive drinkers’ success in
changing. Psychopharmacology, 192, 499-510.
108.
Pothos, E. M. & Juola,
P. (2007). Characterizing linguistic structure with mutual information. British
Journal of Psychology, 98, 291-304.
109.
Pothos, E. M. & Wolff, J. G. (2006). The
Simplicity and Power model for inductive inference. Artificial Intelligence Review,
26, 211-225.
110.
Cox, W. M., Fadardi, J. S., & Pothos, E.
M. (2006). The addiction-Stroop test: Theoretical considerations and procedural
recommendations. Psychological Bulletin, 132, 443-476.
111.
Pothos, E. M., Chater, N., & Ziori, E. (2006).
Does stimulus appearance affect learning? The American Journal of
Psychology, 119, 277-301.
112.
Pothos, E. M. (2005). Expectations about stimulus
structure in implicit learning. Memory & Cognition, 33, 171-181.
113.
Pothos, E. M. & Chater, N. (2005). Unsupervised
categorization and category learning. Quarterly Journal of Experimental Psychology,
58A, 733-752.
114.
Pothos, E. M. (2005). The rules versus
similarity distinction. Behavioral & Brain Sciences, 28,
1-49. (target article)
115.
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.
116.
Pothos, E. M. & Kirk, J. (2004). Investigating
learning deficits associated with dyslexia. Dyslexia, 10, 61-76.
117.
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.)
118.
Pothos, E. M. & Chater, N. (2002). A
simplicity principle in unsupervised human categorization. Cognitive
Science, 26, 303-343.
119.
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.
120.
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.
121.
Pothos, E. M. (2001). Open peer commentary. Context
effects equally applicable in generalization and similarity. Behavioral
and Brain Sciences, 24, 699-700.
122.
Pothos, E. M. & Juola,
P. (2001). Open peer commentary. Linguistic structure and short
term memory. Behavioral and Brain Sciences, 24, 138-139.
123.
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.
124.
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.
125.
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.
126.
Pothos, E. M. & Ward, R. (2000).
Symmetry, repetition, and figural goodness: an investigation of the weight of
evidence theory. Cognition, 75, B65-B78.