Operations Research and Artificial Intelligence

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