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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.
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
- No. of pages:
- © Morgan Kaufmann 1989
- 1st January 1993
- Morgan Kaufmann
- eBook ISBN:
Robin B. Gasser is Professor in Parasitology at the Faculty of Veterinary Science, University of Melbourne, Australia
Faculty of Veterinary Science, University of Melbourne, Australia
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