Mathematical Methods in Artificial Intelligence

Edward A Bender

ISBN 10: 0818672005 / ISBN 13: 9780818672002

Published by Wiley Feb 1996, 1996

About this Item

Neuware - Introduces the students to the important mathematical foundations and tools in AI and describes their application to the design of AI algorithms. The book presents an introductory AI course based on the most important mathematics applications, while focusing on important topics that are proven useful in AI and involve the most broadly applicable mathematics.

Seller Inventory # 9780818672002

Bibliographic Details

• Title: Mathematical Methods in Artificial Intelligence
• Publisher: Wiley Feb 1996
• Publication Date: 1996
• Language: English
• ISBN 10: 0818672005
• ISBN 13: 9780818672002
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 246W x 189H x 36D millimeters 246 millimeters width by 189 millimeters height by 36 millimeters depth
• Weight: 1270 grams

About this title

Synopsis

Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This useful text presents an introductory AI course based on the most important mathematics and its applications. It focuses on important topics that are proven useful in AI and involve the most broadly applicable mathematics.

The book explores AI from three different viewpoints: goals, methods or tools, and achievements and failures. Its goals of reasoning, planning, learning, or language understanding and use are centered around the expert system idea. The tools of AI are presented in terms of what can be incorporated in the data structures. The book looks into the concepts and tools of limited structure, mathematical logic, logic-like representation, numerical information, and nonsymbolic structures.

The text emphasizes the main mathematical tools for representing and manipulating knowledge symbolically. These are various forms of logic for qualitative knowledge, and probability and related concepts for quantitative knowledge. The main tools for manipulating knowledge nonsymbolically, as neural nets, are optimization methods and statistics. This material is covered in the text by topics such as trees and search, classical mathematical logic, and uncertainty and reasoning. A solutions diskette is available, please call for more information.

About the Author

Edward A. Bender is the author of Mathematical Methods in Artificial Intelligence, published by Wiley.