Mathematical Methods in Artificial Intelligence Book

Mathematical Methods in Artificial Intelligence, 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 , Mathematical Methods in Artificial Intelligence

3 out of 5 stars based on 2 reviews

Mathematical Methods in Artificial Intelligence
Written by author Edward A. Bender
Published by Wiley, John & Sons, Incorporated, January 1996
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
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

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Preface
Dear Student
1 First Things 1
2 Trees and Search 33
3 The Concepts of Predicate Logic 85
4 The Theory of Resolution 135
5 Let's Get Real 183
6 Nonmonotonic Reasoning 199
7 Probability Theory 257
8 Bayesian Networks 299
9 Fuzziness and Belief Theory 355
10 What Is It? 403
11 Neural Networks and Minimization 425
12 Probability, Statistics, and Information 497
13 Decision Trees, Neural Nets, and Search 547
14 Last Things 585
Subject Index 615
Author Index 629

Title: Mathematical Methods in Artificial Intelligence

Manufacturer:

Wiley

Item Number: 9780818672002

Publication Date: January 1996

Number: 1

Product Description: Mathematical Methods in Artificial Intelligence

Universal Product Code (UPC): 9780818672002

WonderClub Stock Keeping Unit (WSKU): 9780818672002

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/20/02/9780818672002.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 7.240 cm (2.85 inches)

Heigh : 10.450 cm (4.11 inches)

Depth: 1.640 cm (0.65 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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Mathematical Methods in Artificial Intelligence, 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 , Mathematical Methods in Artificial Intelligence

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Mathematical Methods in Artificial Intelligence Book

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	Preface
	Dear Student
1	First Things	1
2	Trees and Search	33
3	The Concepts of Predicate Logic	85
4	The Theory of Resolution	135
5	Let's Get Real	183
6	Nonmonotonic Reasoning	199
7	Probability Theory	257
8	Bayesian Networks	299
9	Fuzziness and Belief Theory	355
10	What Is It?	403
11	Neural Networks and Minimization	425
12	Probability, Statistics, and Information	497
13	Decision Trees, Neural Nets, and Search	547
14	Last Things	585
	Subject Index	615
	Author Index	629