Mathematical Methods in Artificial Intelligence (Practitioners) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Edward A. Bender 作者

Wiley-IEEE Computer Society Pr

译者

1996-02-10 出版日期

656 页数

USD 83.95 价格

Paperback

丛书系列

9780818672002 图书编码

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Mathematical Methods in Artificial Intelligence (Practitioners) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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.

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