Knowledge-Based Systems for Multiple Environments

Nonfiction, Social & Cultural Studies, Social Science
Cover of the book Knowledge-Based Systems for Multiple Environments by Ladislav J. Kohout, John Anderson, Wyllis Bandler, Taylor and Francis
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Author: Ladislav J. Kohout, John Anderson, Wyllis Bandler ISBN: 9780429761850
Publisher: Taylor and Francis Publication: January 15, 2019
Imprint: Routledge Language: English
Author: Ladislav J. Kohout, John Anderson, Wyllis Bandler
ISBN: 9780429761850
Publisher: Taylor and Francis
Publication: January 15, 2019
Imprint: Routledge
Language: English

First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results.

Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here.

This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole.

While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.

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First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results.

Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here.

This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole.

While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.

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