Kowalski | Computational Logic and Human Thinking | Buch | 978-0-521-12336-5 | sack.de

Buch, Englisch, 334 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 485 g

Kowalski

Computational Logic and Human Thinking

Buch, Englisch, 334 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 485 g

ISBN: 978-0-521-12336-5
Verlag: Cambridge University Press


The practical benefits of computational logic need not be limited to mathematics and computing. As this book shows, ordinary people in their everyday lives can profit from the recent advances that have been developed for artificial intelligence. The book draws upon related developments in various fields from philosophy to psychology and law. It pays special attention to the integration of logic with decision theory, and the use of logic to improve the clarity and coherence of communication in natural languages such as English. This book is essential reading for teachers and researchers who may be out of touch with the latest developments in computational logic. It will also be useful in any undergraduate course that teaches practical thinking, problem solving or communication skills. Its informal presentation makes the book accessible to readers from any background, but optional, more formal, chapters are also included for those who are more technically oriented.
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Weitere Infos & Material


Preface; Summary and plan of the book; 1. Logic on the Underground; 2. The psychology of logic; 3. The fox and the crow; 4. Search; 5. Negation as failure; 6. How to become a British citizen; 7. The louse and the Mars explorer; 8. Maintenance goals as the driving force of life; 9. The meaning of life; 10. Abduction; 11. The prisoner's dilemma; 12. Motivations matter; 13. The changing world; 14. Logic and objects; 15. Biconditionals; 16. Computational logic and the selection task; 17. Meta-logic; Conclusions of the book; References; Index.


Kowalski, Robert
Robert Kowalski is Emeritus Professor and Research Investigator in the Department of Computing at Imperial College London. He recently received the IJCAI 2011 Award for Research Excellence for his contributions to logic for knowledge representation and problem solving, including his pioneering work on automated theorem proving and logic programming.


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