Operations Research and Artificial Intelligence
Clyde W. Holsapple, Andrew Whinston
Résumé
This book provides conceptual underpinnings for
relating
artificial intelligence (AI) to operation research (OR),
tutorials on
basic AI tools and techniques with thorough reference
lists, and
suggestive examples that connect AI and OR in various
ways.
Contents
* Preface * DECISION SUPPORT SYSTEMS: A MEETING PLACE
FOR OR AND
AI * A Common Ground for Operations Research and
Artificial
Intelligence * Model Management * AI APPROACHES TO MANAGING
KNOWLEDGE
* Representing Knowledge in LISP * Object Oriented
Knowledge
Representation * Representing and Processing Knowledge via
Formal
Logic * State Space Knowledge Representation and Processing
*
Managing Reasoning Knowledge in Expert Systems *
FACILITATING THE USE
OF OPERATIONS RESEARCH * Adapting to Predicate Logic to
Solver
Management * Ancillary Development Facilities *
Hyperknowledge, An
Environment for Model Management * MACHINE LEARNING *
Machine
Learning and the Genetic Algorithm Strategy * Neural
Networks:
Concepts, Learning, and Applications * Author Index *
Subject
Index
L'auteur - Clyde W. Holsapple
L'auteur - Andrew Whinston
is the Cullen Chair Professor of Information Systems, Computer Science and Economics, IC2 Fellow, and Director of the Center for Information Systems Management at the University of Texas at Austin. His recent research interests are Internet pricing and application of client/server computing to support groups working collaboratively.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Ablex |
| Auteur(s) | Clyde W. Holsapple, Andrew Whinston |
| Parution | 10/01/1993 |
| Nb. de pages | 208 |
| Format | 15,3 x 22,9 |
| Poids | 300g |
| EAN13 | 9781567500363 |
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