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Distributed Artificial Intelligence - 1st Edition - ISBN: 9781558600928, 9781483294810

Distributed Artificial Intelligence

1st Edition

Volume II

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Authors: Robin Gasser Michael Huhns
eBook ISBN: 9781483294810
Imprint: Morgan Kaufmann
Published Date: 1st January 1993
Page Count: 649
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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


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


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© Morgan Kaufmann 1989
1st January 1993
Morgan Kaufmann
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About the Authors

Robin 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

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