Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies

✍ Scribed by Donald E. Brown, Chelsea C. White III (auth.), Donald E. Brown, Chelsea C. White III (eds.)

• Publisher: Springer Netherlands
• Year: 1990
• Tongue: English
• Leaves: 502
• Edition: 1
• Category: Library

✦ Synopsis

The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.

✦ Table of Contents

Front Matter....Pages i-xi
Introduction....Pages 1-6
Front Matter....Pages 7-10
Toward the Modeling, Evaluation and Optimization of Search Algorithms....Pages 11-28
Genetic Algorithms Applications to Set Covering and Traveling Salesman Problems....Pages 29-57
Discovering and Refining Algorithms Through Machine Learning....Pages 59-78
Front Matter....Pages 79-82
Using Probabilities as Control Knowledge to Search for Relevant Problem Models in Automated Reasoning....Pages 83-104
On the Marshalling of Evidence and the Structuring of Argument....Pages 105-139
Hybrid Systems for Failure Diagnosis....Pages 141-165
Front Matter....Pages 167-170
Default Reasoning Through Integer Linear Programming....Pages 171-195
The Problem of Determining Membership Values in Fuzzy Sets in Real World Situations....Pages 197-214
Front Matter....Pages 215-218
Applications of Utility Theory in Artificial Intelligence Research....Pages 219-236
A Multicriteria Stratification Framework for Uncertainty and Risk Analysis....Pages 237-248
Dispute Mediation: A Computer Model....Pages 249-274
Front Matter....Pages 275-278
Eliciting Knowledge Representation Schema for Linear Programming Formulation....Pages 279-316
A Knowledge Base for Integer Programming — A Meta-OR Approach....Pages 317-367
Front Matter....Pages 369-372
Validator, A Tool for Verifying and Validating Personal Computer Based Expert Systems....Pages 373-385
Measuring and Managing Complexity in Knowledge-Based Systems: A Network and Mathematical Programming Approach....Pages 387-425
Pragmatic Information-Seeking Strategies for Expert Classification Systems....Pages 427-447
Front Matter....Pages 449-452
A Knowledge- and Optimization-Based Approach to Scheduling in Automated Manufacturing Systems....Pages 453-479
An Integrated Management Information System for Wastewater Treatment Plants....Pages 481-496
Back Matter....Pages 497-510

✦ Subjects

Operations Research/Decision Theory; Artificial Intelligence (incl. Robotics); Systems Theory, Control