Hot Thought

by Paul Thagard

Published 18 August 2006

Contrary to standard assumptions, reasoning is often an emotional process. Emotions can have good effects, as when a scientist gets excited about a line of research and pursues it successfully despite criticism. But emotions can also distort reasoning, as when a juror ignores evidence of guilt just because the accused seems like a nice guy. In Hot Thought, Paul Thagard describes the mental mechanisms-cognitive, neural, molecular, and social-that interact to produce different kinds of human thinking, from everyday decision making to legal reasoning, scientific discovery, and religious belief, and he discusses when and how thinking and reasoning should be emotional.

Thagard argues that an understanding of emotional thinking needs to integrate the cognitive, neural, molecular, and social levels. Many of the chapters employ computational models of various levels of thinking, including HOTCO (hot cognition) models and the more neurologically realistic GAGE model. Thagard uses these models to illuminate thinking in the domains of law, science, and religion, discussing such topics as the role of doubt and reasonable doubt in legal and other contexts, valuable emotional habits for successful scientists, and the emotional content of religious beliefs. Identifying and assessing the impact of emotion, Thagard argues, can suggest ways to improve the process of reasoning.


Mind

by Paul Thagard

Published 1 June 1996
Cognitive science is the interdisciplinary study of mind and intelligence, embracing psychology, philosophy, artificial intelligence, neuroscience, linguistics and anthropology. Paul Thagard's text presupposes no special preparation in any of these fields. Thagard systematically describes and evaluates the main computational theories of mental representation that have been advocated by cognitive scientists, including logic, rules, concepts, analogies, images and connections (neural networks). He considers the major challenge to the computational-representational view of mind and discusses emotions, consciousness, physical and social environments, dynamical systems and mathematical knowledge. Teaching cognitive science is difficult, Thagard observes because students come to this multidisciplinary subject with widely different competencies, backgrounds and interests. "Mind" aims to solve this dilemma by making logic comprehensible to psychologic students, computer algorithms comprehensible to English students, and philosophical controversies comprehensible to computer science students. Each chapter concludes with summaries, discussion questions and suggestions for further reading.
"Mind" is suitable for introductory courses on cognitive science, and should also be useful as a supplement to courses on cognitive psychology, educational psychology, philosophy of mind, and artificial intelligence.