A little logic goes a long way: basing experiment on semantic theory in the cognitive science of conditional reasoning

Modern logic provides accounts of both interpretation and derivation which work together to provide abstract frameworks for modelling the sensitivity of human reasoning to task, context and content. Cognitive theories have underplayed the importance of interpretative processes. We illustrate, using Wason's (Q. J. Exp. Psychol. 20 (1968) 273) selection task, how better empirical cognitive investigations and theories can be built directly on logical accounts when this imbalance is redressed. Subjects quite reasonably experience great difficulty in assigning logical form to descriptively in- terpreted rules in this task and materials, though not to deontically interpreted ones. The main em- pirical contrasts in reasoning performance are precisely between these interpretations, so better se- mantic theory can explain the main empirical effects. However, a more adequate notion of logical form than that typically employed in the psychology of reasoning is required, and we offer a richer alternative. Prima facie evidence that subjects do in fact experience the predicted difficulties in interpreting descriptive materials is provided by analyses of socratic tutoring dialogues. Experimental verification that these difficulties do in fact affect subjects' performance in the standard task is provided by six novel experimental conditions each designed to test different aspects of the semantic predictions. The results bear out the predictions. The semantic distinction between descriptive and deontic rules interacts with the task specifics to provide powerful generalisations about reasoning which surface in detailed explanations of many disparate observations. We conclude that semantic analyses have more direct benefits for psychological investigation than is usually credited, and conversely, that the

[1]  H. Grice Logic and conversation , 1975 .

[2]  P. Johnson-Laird,et al.  Illusory inferences: a novel class of erroneous deductions , 1999, Cognition.

[3]  Keith Stenning,et al.  A working memory model of relations between interpretation and reasoning , 2005 .

[4]  Keith Stenning,et al.  Reconnecting interpretation to reasoning through individual differences , 2006, Quarterly journal of experimental psychology.

[5]  李幼升,et al.  Ph , 1989 .

[6]  Pc Vanduyne REALISM AND LINGUISTIC COMPLEXITY IN REASONING , 1974 .

[7]  N. Chater,et al.  Deontic Reasoning, Modules and Innateness: A Second Look , 1996 .

[8]  K. Stenning Seeing Reason: Image and language in learning to think , 2002 .

[9]  Kevin J. Riggs,et al.  Adaptive modelling and mindreading , 1999 .

[10]  P. Johnson-Laird,et al.  REASONING AND A SENSE OF REALITY , 1972 .

[11]  B. Bloom,et al.  Problem-solving processes of college students : an exploratory investigation , 1950 .

[12]  P. Harris The work of imagination , 1991 .

[13]  P. Harris,et al.  Counterfactual syllogistic reasoning in normal 4-year-olds, children with learning disabilities, and children with autism. , 2000, Journal of experimental child psychology.

[14]  J. E. Tschirgi,et al.  Logical knowledge and cue redundancy in deductive reasoning , 1985, Memory & cognition.

[15]  Jonathan Evans,et al.  Human Reasoning: The Psychology Of Deduction , 1993 .

[16]  C. Hill,et al.  Autonomous and pragmatic models of literacy: Reading assessment in adult education* , 1989 .

[17]  L. Cosmides The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task , 1989, Cognition.

[18]  D. Laming,et al.  Rational choices in wason's selection task , 1997 .

[19]  M. Henle On the relation between logic and thinking. , 1962, Psychological review.

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

[21]  Richard A. Griggs,et al.  The elusive thematic‐materials effect in Wason's selection task , 1982 .

[22]  L. Cosmides,et al.  Cognitive adaptations for social exchange. , 1992 .

[23]  Peter Carruthers,et al.  Theories of theories of mind: Frontmatter , 1996 .

[24]  Keith J Holyoak,et al.  Pragmatic reasoning schemas , 1985, Cognitive Psychology.

[25]  D. Cummins Evidence for the Innateness of Deontic Reasoning , 1996 .

[26]  K. Kirby,et al.  Probabilities and utilities of fictional outcomes in Wason's four-card selection task , 1994, Cognition.

[27]  D. Gabbay A General Theory of Structured Consequence Relations , 1995 .

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

[29]  Jon Oberlander,et al.  A cognitive theory of graphical and linguistic reasoning: logic and implementation. Cognitive Science , 1995 .

[30]  D. Sperber,et al.  Relevance: Communication and Cognition , 1997 .

[31]  L. Boroditsky Metaphoric structuring: understanding time through spatial metaphors , 2000, Cognition.

[32]  D. Sperber,et al.  Relevance: Communication and cognition, 2nd ed. , 1995 .

[33]  P. Johnson-Laird,et al.  Conditionals: A Theory of Meaning, Pragmatics, and Inference , 2002 .

[34]  S. Ian Robertson,et al.  Problem-solving , 2001, Human Thinking.

[35]  Jean-Baptiste Van der Henst,et al.  Inept reasoners or pragmatic virtuosos? Relevance and the deontic selection task , 2001, Cognition.

[36]  L. Cosmides,et al.  No interpretation without representation: the role of domain-specific representations and inferences in the Wason selection task , 2000, Cognition.

[37]  Michiel van Lambalgen,et al.  A Logic of Vision , 2000 .

[38]  P C Wason,et al.  Reasoning about a Rule , 1968, The Quarterly journal of experimental psychology.

[39]  L. Cosmides,et al.  The Adapted mind : evolutionary psychology and the generation of culture , 1992 .

[40]  Jonathan Evans,et al.  Rationality and reasoning , 1996 .

[41]  N. Goodman Fact, Fiction, and Forecast , 1955 .

[42]  P. Wason,et al.  Reasoning and Mental Representation , 1984 .

[43]  K. Stenning,et al.  Image and Language in Human Reasoning: A Syllogistic Illustration , 1997, Cognitive Psychology.

[44]  P. Johnson-Laird,et al.  Proving a Disjunctive Rule , 1969 .

[45]  P N Johnson-Laird,et al.  Illusions in reasoning about consistency. , 2000, Science.

[46]  Richard A. Griggs,et al.  Quantifier interpretation and syllogistic reasoning , 2001 .

[47]  K. Stanovich,et al.  Individual differences in reasoning: Implications for the rationality debate? , 2000, Behavioral and Brain Sciences.

[48]  Keith Stenning,et al.  Semantics as a Foundation for Psychology: A Case Study of Wason's Selection Task , 2001, J. Log. Lang. Inf..

[49]  K. I. Manktelow Inference and Understanding: A Philosophical and Psychological Perspective , 1990 .

[50]  W. Hodges The logical content of theories of deduction , 1993 .

[51]  D. Sperber,et al.  Relevance theory explains the selection task , 1995, Cognition.

[52]  P. Johnson-Laird,et al.  A theoretical analysis of insight into a reasoning task , 1970 .

[53]  S. Newstead Gricean Implicatures and Syllogistic Reasoning , 1995 .

[54]  J. S. Evans,et al.  Interpretation and Matching Bias in a Reasoning Task , 1972 .

[55]  Richard A. Griggs,et al.  Facilitation in the Abstract Selection Task: The Effects of Attentional and Instructional Factors , 1993 .

[56]  G. Gigerenzer,et al.  Domain-specific reasoning: Social contracts, cheating, and perspective change , 1992, Cognition.