Computational Intelligence : A Logical Approach

David Poole

ISBN 10: 0195102703 / ISBN 13: 9780195102703

Published by Oxford University Press, 1998

About this Item

Neuware - This introductory textbook on Artificial Intelligence (AI) is aimed at junior/senior undergraduate and graduate level students. The book will weave a unifying theme among the core concepts that underlie the discipline of AI. While the text makes use of Prolog as its primary programming language, class testers have successfully substituted a Lisp-like pseudocode. The book encourages the student to expore, implement and experiment with a series of progressively richer logic-basedrepresentations that can capture the essential features of more and more demanding tasks and environments. The unifying theme will feature an intelligent agent acting in its own environment. This will serve to place the core concepts of AI in a coherent and cohesive framework, making it easier to teachand learn from. This approach will clarify and integrate representation and reasoning fundamentals and lead the students from simple to complex ideas with clear motivation. The authors have developed AI representation schemes and describe their use for interesting and popular applications, such as natural language vision, robotics, game playing, and expert systems. The manuscript has been class tested in a number of different courses in Canada, Japan, and Europe. Virtually every university andcollege has an interdisciplinary course on artificial intelligence. The enrollment in such courses is rising, as many interdisciplinary programs, such as cognitive science, psychology, linguistics, engineering, medicine, business and philosophy, recommend the course. Seller Inventory # 9780195102703

Bibliographic Details

Title: Computational Intelligence : A Logical ...

Publisher: Oxford University Press

Publication Date: 1998

Binding: Buch

Condition: Neu

About this title

Synopsis:

This introductory textbook on Artificial Intelligence (AI) is aimed at junior/senior undergraduate and graduate level students. The book will weave a unifying theme among the core concepts that underlie the discipline of AI. While the text makes use of Prolog as its primary programming language, class testers have successfully substituted a Lisp-like pseudocode. The book encourages the student to expore, implement and experiment with a series of progressively richer logic-based representations that can capture the essential features of more and more demanding tasks and environments. The unifying theme will feature an intelligent agent acting in its own environment. This will serve to place the core concepts of AI in a coherent and cohesive framework, making it easier to teach and learn from. This approach will clarify and integrate representation and reasoning fundamentals and lead the students from simple to complex ideas with clear motivation. The authors have developed AI representation schemes and describe their use for interesting and popular applications, such as natural language vision, robotics, game playing, and expert systems. The manuscript has been class tested in a number of different courses in Canada, Japan, and Europe. Virtually every university and college has an interdisciplinary course on artificial intelligence. The enrollment in such courses is rising, as many interdisciplinary programs, such as cognitive science, psychology, linguistics, engineering, medicine, business and philosophy, recommend the course.

Review:

"From the title one gets the sense of a fresh approach. Its use of case studies to intertwine theory and practice is excellent."--Jonathan Hodgson, St. Joseph's University