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

  • Book
  • © 1990

Overview

Editors:
  1. Donald E. Brown

    1. University of Virginia, USA

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  2. Chelsea C. White

    1. University of Virginia, USA

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    1. Introduction

      • Donald E. Brown, Chelsea C. White III
      Pages 1-6

  3. Search

    1. Front Matter

      Pages 7-10
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    2. Toward the Modeling, Evaluation and Optimization of Search Algorithms

      • Othar Hansson, Gerhard Holt, Andrew Mayer
      Pages 11-28

    3. Genetic Algorithms Applications to Set Covering and Traveling Salesman Problems

      • G. E. Liepins, M. R. Hilliard, J. Richardson, M. Palmer
      Pages 29-57

    4. Discovering and Refining Algorithms Through Machine Learning

      • Michael R. Hilliard, Gunar E. Liepins, Mark Palmer
      Pages 59-78

  4. Uncertainty Management

    1. Front Matter

      Pages 79-82
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    2. Using Probabilities as Control Knowledge to Search for Relevant Problem Models in Automated Reasoning

      • Raj K. Bhatnagar, Laveen N. Kanal
      Pages 83-104

    3. On the Marshalling of Evidence and the Structuring of Argument

      • David A. Schum
      Pages 105-139

    4. Hybrid Systems for Failure Diagnosis

      • Elisabeth Paté-Cornell, Hau Lee
      Pages 141-165

  5. Imprecise Reasoning

    1. Front Matter

      Pages 167-170
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    2. Default Reasoning Through Integer Linear Programming

      • Stephen D. Post, Colin E. Bell
      Pages 171-195

    3. The Problem of Determining Membership Values in Fuzzy Sets in Real World Situations

      • Evangelos Triantaphyllou, Panos M. Pardalos, Stuart H. Mann
      Pages 197-214

  6. Decision Analysis and Decision Support

    1. Front Matter

      Pages 215-218
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    2. Applications of Utility Theory in Artificial Intelligence Research

      • Peter H. Farquhar
      Pages 219-236

    3. A Multicriteria Stratification Framework for Uncertainty and Risk Analysis

      • Judith Barlow, Fred Glover
      Pages 237-248

    4. Dispute Mediation: A Computer Model

      • Katia Sycara
      Pages 249-274

  7. Mathematical Programming and AI

    1. Front Matter

      Pages 275-278
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    2. Eliciting Knowledge Representation Schema for Linear Programming Formulation

      • Margaret M. Sklar, Roger Alan Pick, G. Brian Vesprani, James R. Evans
      Pages 279-316

    3. A Knowledge Base for Integer Programming — A Meta-OR Approach

      • Fatameh Zahedi
      Pages 317-367
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Keywords

About this book

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.

Editors and Affiliations

  • University of Virginia, USA

    Donald E. Brown, Chelsea C. White

Bibliographic Information

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

  • Editors: Donald E. Brown, Chelsea C. White

  • DOI: https://doi.org/10.1007/978-94-009-2203-7

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1990

  • Hardcover ISBN: 978-0-7923-9106-7Published: 31 August 1990

  • Softcover ISBN: 978-94-010-7488-9Published: 09 October 2011

  • eBook ISBN: 978-94-009-2203-7Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XII, 512

  • Topics: Operations Research/Decision Theory, Artificial Intelligence, Systems Theory, Control

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