Operations Research and Artificial Intelligence (Book)

Edition

PREFACE       ix

 

PART I:

Decision Support Systems: A Meeting Place for OR and AI

1

A COMMON GROUND FOR OPERATIONS RESEARCH AND ARTIFICIAL INTELLIGENCE       3

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

2

MODEL MANAGEMENT       22

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

PART II:

AI Approaches to Managing Knowledge

3

REPRESENTING KNOWLEDGE IN LISP       41

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

4

OBJECT-ORIENTED KNOWLEDGE REPRESENTATION       58

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

5

REPRESENTING AND PROCESSING KNOWLEDGE VIA FORMAL LOGIC       71

      C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

6

STATE SPACE KNOWLEDGE REPRESENTATION AND PROCESSING       92

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

7

MANAGING REASONING KNOWLEDGE IN EXPERT SYSTEMS       107

        C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

PART III:

Facilitating the Use of Operations Research

8

ADAPTING PREDICATE LOGIC TO SOLVER MANAGEMENT       123

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

9

ANCILLARY DEVELOPMENT FACILITIES       139

        C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

10

HYPERKNOWLEDGE, AN ENVIRONMENT FOR MODEL MANAGEMENT       154

       C. W. Holsapple, V. S. Jacob, and A. B. Whinston

 

PART IV:

Machine Learning

11

MACHINE LEARNING AND THE GENETIC ALGORITHM STRATEGY       167

        Ramakrishnan Pakath

 

12

NEURAL NETWORKS: CONCEPTS, LEARNING, AND APPLICATIONS       185

       Ramakrishnan Pakath

 

NAME INDEX       199

SUBJECT INDEX       205 

 

 

 

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