All Stories

  1. The paradox of social interaction: Shared intentionality, we-reasoning, and virtual bargaining.
  2. Collusion in Bertrand vs. Cournot Competition: A Virtual Bargaining Approach
  3. Unwritten rules: virtual bargaining underpins social interaction, culture, and society
  4. Virtual bargaining: a theory of social decision-making
  5. THE PARADOX OF LINGUISTIC COMPLEXITY AND COMMUNITY SIZE
  6. Cognitive Science as an Interface Between Rational and Mechanistic Explanation
  7. Using big data to predict collective behavior in the real world
  8. Organizational neuroscience: An interview with a pioneer of multidisciplinary research in organizations, professor Nick Lee
  9. Prices need no preferences: Social trends determine decisions in experimental markets for pain relief.
  10. Choice Blindness and Preference Change: You Will Like This Paper Better If You (Believe You) Chose to Read It!
  11. Programs as Causal Models: Speculations on Mental Programs and Mental Representation
  12. Dynamic inference and everyday conditional reasoning in the new paradigm
  13. Guarding against collective failures
  14. Learnability theory
  15. Evolution in a Changing Environment
  16. Editors' Introduction: Why Formal Learning Theory Matters for Cognitive Science
  17. Language Learning From Positive Evidence, Reconsidered: A Simplicity‐Based Approach
  18. The Biological Origin of Linguistic Diversity
  19. Modeling judgment of sequentially presented categories using weighting and sampling without replacement
  20. Unfakeable Facial Configurations Affect Strategic Choices in Trust Games with or without Information about Past Behavior
  21. Normative Systems: Logic, Probability, and Rational Choice
  22. RECONCILING THE DIVERSITY OF LANGUAGES WITH THE BIOLOGICAL UNIFORMITY OF THEIR SPEAKERS
  23. Dual processes, probabilities, and cognitive architecture
  24. Preference Change through Choice
  25. Social Projection Without Evidential Reasoning
  26. How the Bayesians got their beliefs (and what those beliefs actually are): Comment on Bowers and Davis (2012).
  27. Judgments relative to patterns: How temporal sequence patterns affect judgments and memory.
  28. A solution to the logical problem of language evolution: language as an adaptation to the human brain
  29. Does the brain calculate value?
  30. The “is-ought fallacy” fallacy
  31. The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science
  32. The mental representation of causal conditional reasoning: Mental models or causal models
  33. Biological Adaptations for Functional Features of Language in the Face of Cultural Evolution
  34. The instability of value
  35. The Non-Existence of Risk Attitude
  36. Identifying Optimum Performance Trade‐Offs Using a Cognitively Bounded Rational Analysis Model of Discretionary Task Interleaving
  37. Postscript: Contrasting predictions for preference reversal.
  38. Simplifying Reading: Applying the Simplicity Principle to Reading
  39. Domain Effects and Financial Risk Attitudes
  40. The Logical Problem of Language Acquisition: A Probabilistic Perspective
  41. Causation and Conditionals in the Cognitive Science of Human Reasoning~!2009-12-08~!2010-01-18~!2010-07-13~!
  42. Language Acquisition Meets Language Evolution
  43. The Rumelhart Prize at 10
  44. The psychological representation of corporate ‘personality’
  45. Bayesian models of cognition
  46. Language evolution as cultural evolution: how language is shaped by the brain
  47. Cognition and ConditionalsProbability and Logic in Human Thinking
  48. Cognition and conditionals: An introduction
  49. Causal discounting and conditional reasoning in children
  50. Conditional inference and constraint satisfaction: Reconciling mental models and the probabilistic approach
  51. Open issues in the cognitive science of conditionals
  52. Executive functions and task switching
  53. Adaptive design for model discrimination
  54. Relative value coding as a common principle in economics and motor control
  55. Utility reversals: Memory and contextual biases with decision prospects
  56. Causation and Conditionals in the Cognitive Science of Human Reasoning
  57. Preference reversal in multiattribute choice.
  58. Rational and mechanistic perspectives on reinforcement learning
  59. Corrigendum: Herding in humans
  60. Associations between a one-shot delay discounting measure and age, income, education and real-world impulsive behavior
  61. Local and global inferential relations: Response to Over (2009)
  62. Transformation and alignment in similarity
  63. The myth of language universals and the myth of universal grammar
  64. Herding in humans
  65. Reason-based judgments: Using reasons to decouple perceived price–quality correlation
  66. Syntax as an Adaptation to the Learner
  67. Dimensionality of Risk Perception: Factors Affecting Consumer Understanding and Evaluation of Financial Risk
  68. The biological and cultural foundations of language
  69. Rational models of conditioning
  70. Are Probabilities Overweighted or Underweighted When Rare Outcomes Are Experienced (Rarely)?
  71. The Price of Pain and the Value of Suffering
  72. Précis ofBayesian Rationality: The Probabilistic Approach to Human Reasoning
  73. The uncertain reasoner: Bayes, logic, and rationality
  74. Judgement and Decision Making
  75. From spending to understanding: Analyzing customers by their spending behavior
  76. Exaggerated risk: Prospect theory and probability weighting in risky choice.
  77. Brains, genes, and language evolution: A new synthesis
  78. Language as shaped by the brain
  79. Risk Preference Discrepancy: A Prospect Relativity Account of the Discrepancy Between Risk Preferences in Laboratory Gambles and Real World Investments
  80. Serial and free recall: Common effects and common mechanisms? A reply to Murdock (2008).
  81. Human Reasoning and Argumentation: The Probabilistic Approach
  82. Seeing is not enough: manipulating choice options causes focusing and preference change in multiattribute risky decision‐making
  83. The Probabilistic Mind:
  84. The probabilistic mind: where next?
  85. The probabilistic mind:
  86. Probability logic and the Modus Ponens—Modus Tollens asymmetry in conditional inference
  87. Using statistical smoothing to estimate the psycholinguistic acceptability of novel phrases
  88. From Universal Laws of Cognition to Specific Cognitive Models
  89. Shape School's Asymmetrical Switch Costs
  90. The price of pain and the value of suffering
  91. Memory-Biased Preferences With Judgments and Decision-Making Prospects
  92. Learning to win: An analysis of retrospective evaluations and dynamic behavior in a multi-armed bandit problem
  93. A NON-PARAMETRIC APPROACH TO SIMPLICITY CLUSTERING
  94. ‘Ideal learning’ of natural language: Positive results about learning from positive evidence
  95. Perspectives on Imitation: From Neuroscience to Social Science ‐ edited by Susan Hurley and Nick Chater
  96. Bayesian Rationality
  97. Logic and the Western concept of mind
  98. Rationality and rational analysis
  99. The probabilistic turn
  100. The rational analysis of mind: a dialogue
  101. Reasoning in the real world: how much deduction is there?
  102. Does the exception prove the rule? How people reason with conditionals
  103. Being economical with the evidence: collecting data and testing hypotheses
  104. An uncertain quantity: how people reason with syllogisms
  105. A temporal ratio model of memory.
  106. Recognition and Categorization After Exposure to Equally and Unequally Distributed Training Stimuli, in AGL
  107. Fractionating masculinity: Effects of dominance and systemising on Ultimatum Game behaviour
  108. Absolute Frequency Identification: How a Sequence of Events Can Affect People's Judgments
  109. Within-Subject Preference Reversals and Order Effects in Decisions from Experience
  110. The first-run effect: How temporal sequence patterns affect judgments and memory
  111. Note on ways of saving: mental mechanisms as tools for self-control?
  112. Financial prospect relativity: context effects in financial decision‐making under risk
  113. Decision by sampling
  114. Probabilistic models of cognition: where next?
  115. Probabilistic models of cognition: Conceptual foundations
  116. Probabilistic models of language processing and acquisition
  117. Does Stimulus Appearance Affect Learning?
  118. Asymmetrical switch costs in children
  119. THE BALDWIN EFFECT WORKS FOR FUNCTIONAL, BUT NOT ARBITRARY, FEATURES OF LANGUAGE
  120. Rational Models of Cognition
  121. Are developmental changes in asymmetrical switch costs domain dependent?
  122. Game relativity: How context influences strategic decision making.
  123. Taking precautions is not the same as choosing gambles: Prospect theory and the use of probability in risky choices
  124. Distinctiveness models of memory and absolute identification: Evidence for local, not global, effects
  125. Absolute Identification by Relative Judgment.
  126. The differential role of phonological and distributional cues in grammatical categorisation
  127. Unsupervised Categorization and Category Learning
  128. What can be learned from positive data? Insights from an ‘ideal learner’. Commentary on ‘A Multiple process solution to the logical problem of language acquisition’ by Brian MacWhinney
  129. Information about the logical structure of a category affects generalization
  130. Connectionist Models of Children’s Reading
  131. Holography Does Not Account for Goodness: A Critique of van der Helm and Leeuwenberg (1996).
  132. Conditional Probability and the Cognitive Science of Conditional Reasoning
  133. The generalized universal law of generalization
  134. Optimal data selection: Revision, review, and reevaluation
  135. Toward a cognitive game theory
  136. Similarity as transformation
  137. How much Can we Learn from Double Dissociations?
  138. Simplicity: a unifying principle in cognitive science?
  139. Computational levels and conditional inference: Reply to Schroyens and Schaeken (2003).
  140. Fast, frugal, and rational: How rational norms explain behavior
  141. Is LF really a linguistic level?
  142. Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting
  143. A simplicity principle in unsupervised human categorization
  144. Commonsense Reasoning, Logic, and Human Rationality
  145. Relative informativeness of quantifiers used in syllogistic reasoning
  146. Sequence effects in categorization of simple perceptual stimuli.
  147. The effect of category variability in perceptual categorization.
  148. Searching for two things at once: Evidence of exclusivity in semantic and autobiographical memory retrieval
  149. Universal generalization and universal inter-item confusability
  150. The probabilistic approach to human reasoning
  151. Categorization by simplicity: a minimum description length approach to unsupervised clustering
  152. Scale invariance in the retrieval of retrospective and prospective memories
  153. Connectionist psycholinguistics: capturing the empirical data
  154. Human rationality and the psychology of reasoning: Where do we go from here?
  155. Cognition and Environmental Structure: Halfway There
  156. How smart can simple heuristics be?
  157. Searching for Two Things at Once: Exclusivity in Memory Retrieval
  158. Probabilities and polarity biases in conditional inference.
  159. Book review: Not Bayesian enough. Rationality in an Uncertain World: Essays on the Cognitive Science of Human Reasoning. Mike Oaksford and Nick Chater. Psychology Press, Hove, Sussex, 1998. No. of pages 336. ISBN 0-86377-534-9
  160. Book review: Not Bayesian enough. Rationality in an Uncertain World: Essays on the Cognitive Science of Human Reasoning. Mike Oaksford and Nick Chater. Psychology Press, Hove, Sussex, 1998. No. of pages 336. ISBN 0-86377-534-9
  161. Preface
  162. Why biological neuroscience cannot replace psychology
  163. Connectionist Natural Language Processing: The State of the Art
  164. The Search for Simplicity: A Fundamental Cognitive Principle?
  165. Toward a Connectionist Model of Recursion in Human Linguistic Performance
  166. The Search for Simplicity: A Fundamental Cognitive Principle?
  167. Ten years of the rational analysis of cognition
  168. Connectionism, theories of learning, and syntax acquisition: where do we stand?
  169. Scale-invariance as a unifying psychological principle
  170. Information gain and decision-theoretic approaches to data selection: Response to Klauer (1999).
  171. What is the dynamical hypothesis?
  172. Distributional Information: A Powerful Cue for Acquiring Syntactic Categories
  173. The notion of distal similarity is ill defined
  174. Connectionist and Statistical Approaches to Language Acquisition: A Distributional Perspective
  175. Real-world categories don't allow uniform feature spaces – not just across categories but within categories also
  176. Rationality in an Uncertain World
  177. Similarity and rules: distinct? exhaustive? empirically distinguishable?
  178. Probabilistic and distributional approaches to language acquisition
  179. Bootstrapping Word Boundaries: A Bottom-up Corpus-Based Approach to Speech Segmentation
  180. What is the type-1/type-2 distinction?
  181. Optimal data selection in the reduced array selection task (RAST).
  182. Double dissociation, modularity, and distributed organization
  183. Reconciling simplicity and likelihood principles in perceptual organization.
  184. Deontic Reasoning, Modules and Innateness: A Second Look
  185. Rational explanation of the selection task.
  186. Two and three stage models of deontic reasoning
  187. Why cognitive science is not formalized folk psychology
  188. Connectionist modelling: Implications for cognitive neuropsychology
  189. Theories of reasoning and the computational explanation of everyday inference
  190. A rational analysis of the selection task as optimal data selection.
  191. Generalization and Connectionist Language Learning
  192. Animal Concepts: Content and Discontent
  193. Another look at eliminative and enumerative behaviour in a conceptual task
  194. Modularity, interaction and connectionist neuropsychology
  195. The Probabilistic Retreat From Biases: Implications for Man-Machine Communication?
  196. Mental models and nonmonotonic reasoning
  197. Categorization, theories and folk psychology
  198. Logicism, Mental Models and Everyday Reasoning: Reply to Garnham
  199. Connectionism, Classical Cognitive Science and Experimental Psychology
  200. Connectionism, Learning and Meaning
  201. Network and direct methods of maximising harmony
  202. Against Logicist Cognitive Science
  203. Connectionism and classical computation
  204. Why are conjunctive categories overextended?
  205. Autonomy, implementation and cognitive architecture: A reply to Fodor and Pylyshyn
  206. Connectionism, classical cognitive science and experimental psychology
  207. Relative value coding as a common principle in economics and motor control
  208. Reasoning
  209. Computational Models of Psycholinguistics
  210. Reasoning and decision making
  211. The simplicity model of unsupervised categorization
  212. Less Is More in Covariation Detection – Or Is It?
  213. Mental Mechanisms: Speculations on Human Causal Learning and Reasoning