Distributed Artificial Intelligence

Distributed Artificial Intelligence

Volume II

1st Edition - January 1, 1993
This is the Latest Edition
  • Authors: Les Gasser, Michael Huhns
  • eBook ISBN: 9781483294810

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Research Notes in Artificial Intelligence: Distributed Artificial Intelligence, Volume II focuses on the growing interest in Distributed Artificial Intelligence (DAI). The selection first offers information on a unified theory of communication and social structure and boundary objects and heterogeneous distributed problem solving. Discussions focus on types of boundary objects, heterogeneous problem solving and boundary objects, social structures and social groups, and social cooperation and communication. The text then examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. The publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource reallocations, and plans for multiple agents. Topics include plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript then elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The selection is a valuable source of information for researchers interested in distributed artificial intelligence.

Table of Contents

  • Preface

    Themes in Distributed Artificial Intelligence Research

    Part I: Societies of Agents

    Chapter 1 Cooperating Agents: A Unified Theory of Communication and Social Structure

    Chapter 2 The Structure of Ill-Structured Solutions: Boundary Objects and Heterogeneous Distributed Problem Solving

    Chapter 3 Representing and Using Organizational Knowledge in DAI Systems

    Chapter 4 Dynamics of Computational Ecosystems: Implications for DAI

    Part II: Cooperation by Negotiation

    Chapter 5 Communication-Free Interactions among Rational Agents: A Probabilistic Approach

    Chapter 6 Multiagent Compromise via Negotiation

    Chapter 7 Conflict Resolution Strategies for Nonhierarchical Distributed Agents

    Chapter 8 Constraint-Directed Negotiation of Resource Reallocations

    Part III: Cooperation by Planning

    Chapter 9 Plans for Multiple Agents

    Chapter 10 Negotiating Task Decomposition and Allocation Using Partial Global Planning

    Chapter 11 Mechanisms for Assessing Nonlocal Impact of Local Decisions in Distributed Planning

    Chapter 12 An Object-Oriented Multiple Agent Planning System

    Part IV: Architectures for DAI

    Chapter 13 DATMS: A Framework for Distributed Assumption Based Reasoning

    Chapter 14 Experiments on Cage and Poligon: Measuring the Performance of Parallel Blackboard Systems

    Chapter 15 Distributing Intelligence within an Individual

    Chapter 16 Learning and Adaptation in Distributed Artificial Intelligence Systems

    Part V: Applications for DAI

    Chapter 17 A Distributed Problem Solving Architecture for Knowledge Based Vision

    Chapter 18 The Cooperation of Experts in Engineering Design

    Chapter 19 Evaluating Research in Cooperative Distributed Problem Solving

Product details

  • No. of pages: 649
  • Language: English
  • Copyright: © Morgan Kaufmann 1998
  • Published: January 1, 1993
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9781483294810

About the Authors

Les Gasser

Robin B. Gasser is Professor in Parasitology at the Faculty of Veterinary Science, University of Melbourne, Australia

Affiliations and Expertise

Faculty of Veterinary Science, University of Melbourne, Australia

Michael Huhns