Computational Logic and Human Thinking: How to Be Artificially Intelligent

Robert Kowalski

ISBN 10: 0521123364 / ISBN 13: 9780521123365

Verlag: Cambridge University Press, 2011

Beschreibung

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.

Bestandsnummer des Verkäufers 0103742

Bibliografische Details

• Titel: Computational Logic and Human Thinking: How to Be Artificially Intelligent
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 0521123364
• ISBN-13: 9780521123365
• Einband: Paperback
• Zustand: New

Über diesen Titel

Inhaltsangabe

Robert Kowalski demonstrates how ordinary people in their everyday life can profit from the advances of computational logic that have been developed for artificial intelligence. This book is an eye-opening read for any student who employs practical thinking, problem solving and communication skills.

Über die Autorin bzw. den Autor

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.