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By the early 1980s, Phil was expanding his analyses from psycholinguistics to the more general question of semantic reasoning. In this arena too, he argued that people reason systematically, albeit in ways that depart from formal rules of inference. Specifically, he envisioned a three-step process by which people solve logical problems: 1) they imagine a state of affairs — construct a mental model — in which the premises are true; 2) they formulate an informative conclusion true in the model; and 3) they search for an alternative model of the premises in which the putative conclusion is false. If there is no such model, then the conclusion is a valid inference from the premises. This mental-model theory of deductive inference soon grew into a more general theory of reasoning across a variety of domains. Phil published the theory in a book, “Mental Models” (1983).
During his tenure at Princeton, Phil continued to develop and expand his theory of mental models to account for propositional reasoning, modal reasoning and informal argumentation in everyday life. He also developed a theory of emotions and, drawing on his lifelong interest in music, experimented with creative musical algorithms that generate novel tonal chord sequences, bass lines and melodies.
During his tenure at Princeton, Phil continued to develop and expand his theory of mental models to account for propositional reasoning, modal reasoning and informal argumentation in everyday life. He also developed a theory of emotions and, drawing on his lifelong interest in music, experimented with creative musical algorithms that generate novel tonal chord sequences, bass lines and melodies.
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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAno. 40 (2023)
Intelligent Computing (2023)
The Cambridge Handbook of Computational Cognitive Sciencespp.474-498, (2023)
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semanticscholar(2021)
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