Logic and Information

Keith Devlin (St Mary's College, California)

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English

Cambridge University Press
22 January 1996

Information theory; Databases; Artificial intelligence

In this provocative and ground-breaking book, Keith Devlin argues that in order to obtain a deeper understanding of the nature of intelligence and knowledge acquisition, we must broaden our concept of logic. Classical logic, beginning with the work of Aristotle, has developed into a powerful and rigorous mathematical theory with many applications in mathematics and computer science, but it has proved woefully inadequate in the search for artificial intelligence.

The new kind of logic, also mathematically based, outlined by Professor Devlin is the culmination of collaborative research among some of the world's leading logicians, philosophers, linguists, psychologists, and computer scientists.

It introduces the concepts of infon, a quantum of information, and situations, a dynamical generalization of sets, and is capable of handlng the issues involved in human communication, thought, speech, and machine information processing.

By: Keith Devlin (St Mary's College California)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm, Spine: 19mm
Weight: 480g
ISBN: 9780521499712
ISBN 10: 0521499712
Pages: 328
Publication Date: 22 January 1996
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

1. Logic; 2. Information; 3. Situation theory; 4. Meaning and constraints; 5. Some logical issues; 6. Mental states; 7. Perception and action; 8. Situation semantics; 9. Topics in situation semantics; 10. Historical perspectives and future directions.

Reviews for Logic and Information

'It is exciting to see a mathematician of Devlin's calibre joining the endeavour, and wonderful to have someone with his expository abilities explaining the work to others. His book Logic and Information is an important milestone in fulfilling this old hope.' Jon Barwise '... the fascinating account of a mathematician's views on how true mathematics - and not just a formalisation of it - can be used to model reality.' New Scientist ' ... can be recommended to anyone who has recognized the need for a better understanding of the nature of information.' The Computer Journal 'The ideas in this fascinating, challenging, but speculative book are set forth with clarity and wit that does them justice.' D. V. Feldman, Choice