The Search for Cognitive Models: Standards and Challenges

Cognitive modeling is the distinguishing factor of cognitive science and the method of choice for formalizing human cognition. In order to bridge the gap between logic and human reasoning, a number of foundational research questions need to be rigorously answered. The objective of this paper is to present relevant concepts and to introduce possible modeling standards as well as key discussion points for cognitive models of human reasoning.

[1]  P. Grünwald.  The Minimum Description Length Principle (Adaptive Computation and Machine Learning) , 2007 .

[2]  Sangeet Khemlani,et al.  How people differ in syllogistic reasoning , 2016, CogSci.

[3]  R. Byrne.  Mental models and counterfactual thoughts about what might have been , 2002, Trends in Cognitive Sciences.

[4]  M. Lee,et al.  Bayesian Cognitive Modeling: A Practical Course , 2014 .

[5]  David M. Riefer,et al.  Multinomial Modeling and the Measurement of Cognitive Processes , 2001 .

[6]  Klaus Oberauer,et al.  Reasoning with conditionals: A test of formal models of four theories , 2006, Cognitive Psychology.

[7]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[8]  David M. Riefer,et al.  Theoretical and empirical review of multinomial process tree modeling , 1999, Psychonomic bulletin & review.

[9]  Marco Ragni.  Räumliche Repräsentation, Komplexität und Deduktion: eine kognitive Komplexitätstheorie , 2008 .

[10]  K C Klauer,et al.  On belief bias in syllogistic reasoning. , 2000, Psychological review.

[11]  John R. Anderson.  How Can the Human Mind Occur in the Physical Universe , 2007 .

[12]  Markus Knauff,et al.  A theory and a computational model of spatial reasoning with preferred mental models. , 2013, Psychological review.

[13]  P. Johnson-Laird,et al.  Theories of the syllogism: A meta-analysis. , 2012, Psychological bulletin.

[14]  Sangeet Khemlani,et al.  Disjunctive illusory inferences and how to eliminate them , 2009, Memory & cognition.

[15]  Geoffrey P. Goodwin,et al.  Transitive and pseudo-transitive inferences , 2008, Cognition.

[16]  John K. Tsotsos,et al.  A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications , 2016, ArXiv.

[17]  P N Johnson-Laird,et al.  Reasoning about relations. , 2005, Psychological review.

[18]  R. Byrne.  Suppressing valid inferences with conditionals , 1989, Cognition.

[19]  Gerhard Strube,et al.  The Role of Cognitive Science in Knowledge Engineering , 1991, Contemporary Knowledge Engineering and Cognition.

[20]  H. Akaike.  A new look at the statistical model identification , 1974 .

[21]  Nick Chater,et al.  A rational analysis of the selection task as optimal data selection. , 1994 .

[22]  P. Johnson-Laird,et al.  Visual imagery can impede reasoning , 2002, Memory & cognition.