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