ERIC Number: EJ1188439
Record Type: Journal
Publication Date: 2018-Aug
Pages: 38
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0364-0213
EISSN: N/A
Facts and Possibilities: A Model-Based Theory of Sentential Reasoning
Khemlani, Sangeet S.; Byrne, Ruth M. J.; Johnson-Laird, Philip N.
Cognitive Science, v42 n6 p1887-1924 Aug 2018
This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals ("if") and disjunctions ("or"), unlike those in logic, refer to conjunctions of epistemic possibilities that hold in default of information to the contrary. Various factors such as general knowledge can modulate these interpretations. New information can always override sentential inferences; that is, reasoning in daily life is defeasible (or nonmonotonic). The theory is a dual process one: It distinguishes between intuitive inferences (based on system 1) and deliberative inferences (based on system 2). The article describes a computer implementation of the theory, including its two systems of reasoning, and it shows how the program simulates crucial predictions that evidence corroborates. It concludes with a discussion of how the theory contrasts with those based on logic or on probabilities.
Descriptors: Form Classes (Languages), Schemata (Cognition), Inferences, Prediction, Thinking Skills, Logical Thinking, Epistemology, Intuition, Computer Software, Computer Simulation
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A