Full Product Details
Author: Michel Chein ,
Marie-Laure Mugnier
Publisher: Springer London Ltd
Imprint: Springer London Ltd
Edition: Softcover reprint of hardcover 1st ed. 2009
Dimensions:
Width: 15.50cm
, Height: 2.20cm
, Length: 23.50cm
Weight: 0.676kg
ISBN: 9781849967693
ISBN 10: 1849967695
Pages: 428
Publication Date: 22 October 2010
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
"From the reviews: ""This well-written book is a wonderful text for researchers working on theoretical artificial intelligence (AI). Fundamentally, AI represents knowledge with mathematical objects and then designs computational rules to manipulate these objects. ! In summary, this is a theoretical book for a graph-based approach to knowledge representation. ! A number of detailed algorithms presented in the book may serve as good references for designing a variety of AI systems, such as database mining and logic reasoning."" (Hsun-Hsien Chang, ACM Computing Reviews, April, 2009)"
From the reviews: ""This well-written book is a wonderful text for researchers working on theoretical artificial intelligence (AI). Fundamentally, AI represents knowledge with mathematical objects and then designs computational rules to manipulate these objects. ! In summary, this is a theoretical book for a graph-based approach to knowledge representation. ! A number of detailed algorithms presented in the book may serve as good references for designing a variety of AI systems, such as database mining and logic reasoning."" (Hsun-Hsien Chang, ACM Computing Reviews, April, 2009)
From the reviews: This well-written book is a wonderful text for researchers working on theoretical artificial intelligence (AI). Fundamentally, AI represents knowledge with mathematical objects and then designs computational rules to manipulate these objects. ! In summary, this is a theoretical book for a graph-based approach to knowledge representation. ! A number of detailed algorithms presented in the book may serve as good references for designing a variety of AI systems, such as database mining and logic reasoning. (Hsun-Hsien Chang, ACM Computing Reviews, April, 2009)
From the reviews: This well-written book is a wonderful text for researchers working on theoretical artificial intelligence (AI). Fundamentally, AI represents knowledge with mathematical objects and then designs computational rules to manipulate these objects. ... In summary, this is a theoretical book for a graph-based approach to knowledge representation. ... A number of detailed algorithms presented in the book may serve as good references for designing a variety of AI systems, such as database mining and logic reasoning. (Hsun-Hsien Chang, ACM Computing Reviews, April, 2009)
