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 and Neuroscience, City St.
Georges, University of London.
address: Rhind Building, 32-38 Whiskin
Street, London EC1R 0JD
office: D439, Rhind building
tel: +44 (0) 207 040 0267
People
PRINCIPAL INVESTIGATOR
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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
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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
Zo is a PhD candidate on quantum cognition,
specialising on probability updating. He has been developing novel
predictions in probability updating, based on pre-testing the nature of
questions (quantum-like vs. Bayesian). He won the best poster prize in the 19th
annual BPS cognitive conference. His first degree was in maths. |
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Pegah Imannezhad
With a background in physics, Pegah has
been working on quantum cognition and AI. Regarding the former, she is
interested in whether the implicit vs. explicit distinction can be recast in
terms of quantum-like vs. Bayesian. Regarding AI, she is interested in
whether probabilistic inference in LLMs falls foul of the same kind of
fallacies as humans. |
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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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Namrata Nagendra
Namrata has been working on consumer choice, specifically
whether representation format impacts on preference. She has been combining
human experimental data, EEG, and modelling. |
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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 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.
Journal articles
1.
Coecke, B., Kissinger, A., Gogioso, S., Dündar-Coecke, S., Puca, C., Yeh, L., Waseem,
M. H., Pothos, E. M., Pfaendler, S., Wang-Mascianica, V., Cervoni, T., Tomassini, F., Anandraj, V., Sigrist, P., & Khan, I. (in press). High
schoolers excel at Oxford quantum course using pictorial mathematics. In The
Undivided Physics: A Memorial Symposium for Basil Hiley (Special issue). Institute
of Physics.
2.
Zarifian, A., Gallus, C.,
Blasiak, P., Pothos, E. M., & Overbeck, L. (2025). Using Bell violations as
an indicator for financial crisis. The Journal of Finance and Data
Science, 100164.
3.
Busemeyer, J. R., Ozawa, M.,
Pothos, E. M., & Tsuchiya, N. (2025). Incorporating episodic memory into
quantum models of judgment and decision. Philosophical Transactions of
the Royal Society A, 383, 20240387.
4.
Wojciechowski, B. W., White, L.
C., Allefeld, C., & Pothos, E. M. (2025). Order effects and the evaluation
bias in legal decision making. Decision, 12, 246-267.
5.
Dammas, S., Weyde, T., Tapper,
K., Spanakis, G., Roefs,
A., & Pothos, E. M. (2025). Prediction of snacking behavior
involving snacks having high levels of saturated fats, salt, or sugar using
only information on previous instances of snacking: survey- and app-based
study. Journal of Medical Internet Research: Medical Informatics,
13, e57530.
6.
Burns, D. M., Pothos, E. M.,
& White, L. C. (in press). Dwelling on the bad: Negative arguments and
stimuli are given more weight in both cumulative and non-cumulative tasks. Quarterly
Journal of Experimental Psychology.
7.
Huang, J., Epping, G., Trueblood,
J. S, Yearsley, J. M., Busemeyer, J. R., & Pothos, E. M. (2025). An
overview of the quantum cognition research programme. Psychonomic
Bulletin & Review, doi.org/10.3758/s13423-025-02675-9.
8.
Tsuchiya, N., Bruza, P. D.,
Yamada, M., Saigo, H., & Pothos, E. M. (2025). Quantum-like qualia
hypothesis: from quantum cognition to quantum perception. Frontiers in
Psychology, 10.3389/fpsyg.2024.1406459.
9.
Huang, J., Busemeyer, J. R., Ebelt, Z., &
Pothos, E. M. (2025). Bridging the gap between subjective probability and
probability judgments: the Quantum Sequential Sampler. Psychological
Review, 132, 916-955.
10. Gallus, C., Pothos, E. M., Ebelt, Z., Skouteris,
D., & Blasiak, P. (2024). Probability updating in the classical and the
quantum model. Quantum Economics and Finance, 1, 122-137.
11. Cantarutti, S. A., Pothos, E. M., Ziori,
E., & Tapper, K. (2023). Can we change automatic processes: the influence
of social priming on alcohol attentional bias. Behavioural Pharmacology,
34, 443-447.
12. Gallus, C., Blasiak, P., & Pothos, E. M. (2023).
Winning a CHSH game without entangled particles in a finite number of biased
rounds: how much luck is needed? Entropy, 824.
13. Widdows, D., Rani, J., & Pothos, E. M. (2023).
Quantum circuit components for cognitive decision-making. Entropy,
25, 548.
14. Waddup, O. J., Yearsley, J. M., Blasiak, P., &
Pothos, E. M. (2023). Temporal Bell inequalities in cognition. Psychonomic
Bulletin & Review, 10.3758/s13423-023-02275-5.
15. Gallus, C., Pothos, E. M., Blasiak, P., Yearsley, J. M.,
& Wojciechowski, B. (2023). Bell correlations outside physics. Scientific
Reports, 13, 4394.
16. 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.
17. Cantarutti, S. & Pothos, E. M. (2022). Trust during
COVID-19: Which factors matter most? Psychology, Health & Medicine,
10.1080/13548506.2022.2141807.
18. 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.
19. Pothos,
E. M. & Busemeyer, J. M. (2022). Quantum cognition. Annual Review of
Psychology, 73, 749-778.
20. 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.
21. Waddup, O., Blasiak, P., Yearsley, J. M., Wojciechowski,
B. W., & Pothos, E. M. (2021). Sensitivity to context in human
interactions. Mathematics, 9, 2784.
22. Pothos, E. M. & Pleskac, T. J. (2022). Rethinking
rationality. Topics in Cognitive Science, 14, 451-466.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. Barque-Duran, A. & Pothos, E. M. (2021). Untangling
Decision Routes in Moral Dilemmas: The Refugees’ Dilemma. American
Journal of Psychology, 134, 143-166.
31. 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.
32. White, L. C., Pothos E. M., & Jarrett, M. (2020). The
cost of asking: how evaluations bias subsequent judgments. Decision,
7, 259-286.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. Asano, M., Basieva, I., Pothos, E. M., & Khrennikov,
A. (2018). State entropy and differentiation phenomenon. Entropy, 20, 394-408.
42. 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.
43. Wojciechowski, B. W. & Pothos, E, M. (2018). Is there
a conjunction fallacy in legal probabilistic making? Frontiers in Psychology,
9, article 391.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. Yearsley, J. M. & Pothos, E. M. (2016). Zeno’s
paradox in decision making. Proceedings of the Royal Society B,
283, 20160291.
55. 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.
56. Conway, M. A., Pothos, E. M., & Turk, D. J. (2016).
The self-relevance system? Cognitive Neuroscience, 7, 20-21.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. Pothos, E. M. & Trueblood, J. S. (2015). Structured
representations in a quantum probability model of similarity. Journal
of Mathematical Psychology, 64, 35-43.
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. Pothos, E. M. & Busemeyer, J. R. (2014). In search
for a standard of rationality. Frontiers in Cognitive Science, 5,
1-3.
73. 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.
74. 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.
75. Pothos, E. M., Busemeyer, J. R., & Trueblood, J.
S. (2013). A quantum geometric model of
similarity. Psychological Review, 120, 679-696.
76. 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.
77. Blutner, R., Pothos, E. M., & Bruza, P. (2013). A quantum
probability perspective on borderline vagueness. Topics in Cognitive Science,
5, 1-26.
78. 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.
79. 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.
80. 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 .
81. 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.
82. Busemeyer,
J. R. & Pothos, E. M. (2012). Social projection and a quantum approach for behavior in Prisoner’s Dilemma. Psychological Inquiry,
23, 28-34.
83. Edwards,
D. J., Pothos, E. M., & Perlman, A. (2012). Relational vs. absolute
representation in categorization. American Journal of Psychology, 125,
481-497.
84. 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.
85. Wills, A. J.
& Pothos, E. M. (2012). On the adequacy of current empirical evaluations of
formal models of categorization. Psychological Bulletin, 138,
102-125.
86. 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.
87. Milton,
F. & Pothos. E. M. (2011). Category structure and the two learning systems
of COVIS. European Journal of Neuroscience, 34, 1326-1336.
88. Pothos,
E. M. & Busemeyer, J. R. (2011). Formalizing heuristics in decision-making:
a quantum probability perspective. Frontiers in Cognition, 2, 1-3.
89. Pothos,
E. M. & Busemeyer, J. R. (2011). Open peer commentary. The fallacy of
normativism: falling in love with ourselves. A case
for limited prescriptive normativism. Behavioral and
Brain Sciences, 34, 264-265.
90. 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.
91. Busemeyer, J.
R., Pothos, E. M., Franco, R., & Trueblood, J. (2011). A quantum
theoretical explanation for probability judgment errors. Psychological Review,
118, 193-218.
92. 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.
93. Pothos,
E. M. (2010). An entropy model for Artificial Grammar Learning.
Frontiers in Cognitive Science, 1, 1-13.
94. 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.
95. 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.
96. Pothos,
E. M., Hahn, U., & Prat-Sala, M. (2010). Contingent necessity vs. logical
necessity in categorization. Thinking & Reasoning, 16, 45-65.
97. Tapper,
K. & Pothos, E. M. (2010). Development and validation of a food
preoccupation questionnaire. Eating Behaviors, 11,
45-53.
98. Hahn,
U., Prat-Sala, M., Pothos, E. M., & Brumby, D. (2010). Exemplar similarity
and rule application. Cognition, 114, 1-18.
99. Kosnes, L., Pothos, E. M., & Tapper, K. (2010).
Increased affective influence: situational complexity or deliberation time? American
Journal of Psychology, 123, 29-38.
100.
Pothos, E. M. & Tapper, K. (2010). Inducing a
Stroop effect. Applied Cognitive Psychology, 24, 1021-1033.
101.
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.
102.
Nikolopoulos, D. S. &
Pothos, E. M. (2009). Dyslexic participants show intact spontaneous
categorization processes. Dyslexia, 15, 167-186.
103.
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.
104.
Pothos, E. M., Tapper, K., & Calitri, R. (2009).
Cognitive and behavioral correlates of BMI among male
and female undergraduate students. Appetite, 52, 797-800.
105.
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.
106.
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.
107.
Pothos, E. M., Hahn, U., &
Prat-Sala, M. (2009). Similarity chains in the transformational paradigm. European
Journal of Cognitive Psychology, 21, 1100-1120.
108.
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.
109.
Visser, I., Raijmakers, M. E. J., & Pothos, E. M. (2009).
Individual strategies in artificial grammar learning. American Journal of Psychology,
122, 293-307.
110.
Pothos, E. M. (2008).
Spontaneous categorization: A mechanism for the creation of (simple) concepts. Noisis, 3, 181-208. (in Greek).
111.
Tapper, K., Pothos, E. M.,
Fadardi, J. S., & Ziori, E. (2008). Restraint,
disinhibition and food-related processing bias. Appetite, 51, 335-338.
112.
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.
113.
Pothos, E. M. & Close, J. (2008). One or two dimensions in
spontaneous classification: A simplicity approach. Cognition, 107, 581-602.
114.
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.
115.
Hatzidaki, A. & Pothos, E. M. (2008). Bilingual
language representation and cognitive processes in translation. Applied
Psycholinguistics, 29, 125-150.
116.
Pothos, E. M. (2007). Occam and Bayes in predicting
category intuitiveness. Artificial Intelligence Review, 28,
257-274.
117.
Pothos, E. M. (2007). Theories
of Artificial Grammar Learning. Psychological Bulletin, 133, 227-244.
118.
Hines, P., Pothos, E. M., & Chater, N.
(2007). A non-parametric approach to simplicity clustering. Applied
Artificial Intelligence, 21, 729-752.
119.
Cox, W. M., Pothos, E. M.,
& Hosier, S. G. (2007). Cognitive-motivational predictors of excessive
drinkers’ success in changing. Psychopharmacology, 192, 499-510.
120.
Pothos, E. M. & Juola,
P. (2007). Characterizing linguistic structure with mutual information. British
Journal of Psychology, 98, 291-304.
121.
Pothos, E. M. & Wolff, J. G. (2006).
The Simplicity and Power model for inductive inference. Artificial Intelligence Review,
26, 211-225.
122.
Cox, W. M., Fadardi, J. S.,
& Pothos, E. M. (2006). The addiction-Stroop test: Theoretical
considerations and procedural recommendations. Psychological Bulletin,
132, 443-476.
123.
Pothos, E. M., Chater, N., & Ziori, E. (2006). Does stimulus appearance affect learning?
The American Journal of Psychology, 119, 277-301.
124.
Pothos, E. M. (2005). Expectations about
stimulus structure in implicit learning. Memory & Cognition, 33, 171-181.
125.
Pothos, E. M. & Chater, N. (2005).
Unsupervised categorization and category learning. Quarterly Journal of Experimental
Psychology, 58A, 733-752.
126.
Pothos, E. M. (2005). The rules
versus similarity distinction. Behavioral & Brain Sciences,
28, 1-49. (target article)
127.
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.
128.
Pothos, E. M. & Kirk, J. (2004).
Investigating learning deficits associated with dyslexia. Dyslexia,
10, 61-76.
129.
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.)
130.
Pothos, E. M. & Chater, N.
(2002). A simplicity principle in unsupervised human categorization. Cognitive
Science, 26, 303-343.
131.
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.
132.
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.
133.
Pothos, E. M. (2001). Open peer
commentary. Context effects equally applicable in generalization and
similarity. Behavioral and Brain Sciences, 24, 699-700.
134.
Pothos, E. M. & Juola,
P. (2001). Open peer commentary. Linguistic structure and short
term memory. Behavioral and Brain Sciences, 24, 138-139.
135.
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.
136.
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.
137.
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.
138.
Pothos, E. M. & Ward, R.
(2000). Symmetry, repetition, and figural goodness: an investigation of the
weight of evidence theory. Cognition, 75, B65-B78.
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