general unified theory of intelligence its central conceptions and specific application to domains of cognitive science by Morton Wagman

Cover of: general unified theory of intelligence | Morton Wagman

Published by Praeger in Westport, Conn .

Written in English

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Subjects:

  • Intellect.,
  • Cognitive science.,
  • Artificial intelligence.,
  • Cognition.

Edition Notes

Includes bibliographical references (p. [119]-129) and indexes.

Book details

StatementMorton Wagman.
Classifications
LC ClassificationsBF431 .W2 1997
The Physical Object
Paginationxiii, 136 p. ;
Number of Pages136
ID Numbers
Open LibraryOL983033M
ISBN 100275956229
LC Control Number96020708

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The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving.

At an abstract level, this theory construes the intellective functions of humans and computers as, respectively, restricted and directed forms of the logic of : Morton Wagman. Mind: A Unified Theory of Life and Intelligence - Ebook written by Frank T. Vertosick. Read this book using Google Play Books app on your PC, android, iOS devices.

Download for offline reading, highlight, bookmark or take notes while you read Mind: A Unified Theory of Life and Intelligence. Process Overlap Theory: A Unified Account of the General Factor of Intelligence.

Psychological Inquiry: Vol. 27, No. 3, pp. Cited by:   : Human Intellect and Cognitive Science: Toward a General Unified Theory of Intelligence (): Wagman, Morton: BooksCited by: 4. Frank T. Vertosick Jr. is a neurosurgeon and the author of three books: Why We Hurt, When general unified theory of intelligence book Air Hits Your Brain, and Mind: A Unified Theory of Life and Intelligence, which was previously published as The Genius Within: Discovering the Intelligence of Every Living Thing.

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The most comprehensive theory of intelligence to date is the Cattell-Horn-Carroll (CHC) theory of cognitive abilities (Schneider & McGrew, ). In this theory, abilities are related and arranged in a hierarchy with general abilities at the top, broad abilities in.

Kovacs & Conway’s () Process Overlap Theory (POT) is the latest general, unified theory of intelligence based on the current body of evidence, with profound implications for cognitive training and intelligence augmentation.

The fluid aspect of this theory says that intelligence is a basic capacity due to genetic potentiality. While this is affected by the past and new expriences, the crystallized theory is a capacity resultant of experiences, learning and environment.

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The practice of intelligence testing on children today still incorporates Thurstone’s theory of multifactor analyses (Morgan, ). The Stanford Binet IQ test, first published inprovides a single score that reflects general intelligence.

The theory explains the positive correlations between diverse tests on the basis of overlapping cognitive processes and reinterprets the general factor of intelligence, g, as a formative construct.

The consequences of this approach are discussed, including a focus on specific abilities rather than on global scores in cognitive test results. This article presents a theory of successful intelligence. The opening addresses some general issues of problems with conventional thinking about intelligence.

The rest of the article is divided into 4 main sections. The 1st argues that conventional and some other notions of intelligence are, at best, incomplete and, at worst, wrong. A General Theory of Intelligence a developing eBook by Pei Wang. Preface The preface explains the subject and format of this book.

This eBook is an attempt to establish a theory that identifies the commonality behind various forms intelligence, including human intelligence, computer intelligence, animal intelligence, alien intelligence, group. The theory of multiple intelligences proposes the differentiation of human intelligence into specific “modalities of intelligence”, rather than defining intelligence as a single, general ability.

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Newell contends that his theory will not be new, but will synthesize and combine what is already known. As a candidate for such a unified theory, he proposes SOAR, an architecture for general intelligence.

SOAR comes out of a tradition of modeling that spans over 30 years, starting with the logical theorist proposed in the fifties.

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