Distributed Artificial Intelligence
Volume II
- 1st Edition - January 1, 1993
- Imprint: Morgan Kaufmann
- Authors: Robin Gasser, Michael N. Huhns
- Language: English
- Paperback ISBN:9 7 8 - 1 - 5 5 8 6 0 - 0 9 2 - 8
- eBook ISBN:9 7 8 - 1 - 4 8 3 2 - 9 4 8 1 - 0
Research Notes in Artificial Intelligence: Distributed Artificial Intelligence, Volume II focuses on the growing interest in Distributed Artificial Intelligence (DAI). The… Read more
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Request a sales quoteResearch 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.
PrefaceThemes in Distributed Artificial Intelligence ResearchPart 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 DAIPart 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 ReallocationsPart 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 SystemPart 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 SystemsPart 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
- Edition: 1
- Published: January 1, 1993
- Imprint: Morgan Kaufmann
- No. of pages: 649
- Language: English
- Paperback ISBN: 9781558600928
- eBook ISBN: 9781483294810
RG
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, AustraliaRead Distributed Artificial Intelligence on ScienceDirect