Distributed Artificial Intelligence

Content: 
Front Matter, Page i
Copyright, Page ii
Preface, Page v
Themes in Distributed Artificial Intelligence Research, Pages vii-xv
Chapter 1 - Cooperating Agents: A Unified Theory of Communication and Social Structure, Pages 3-36
Chapter 2 - The Structure of Ill-Structured Solutions: Boundary Objects and Heterogeneous Distributed Problem Solving, Pages 37-54
Chapter 3 - Representing and Using Organizational Knowledge in Distributed AI Systems, Pages 55-78
Chapter 4 - Dynamics of Computational Ecosystems: Implications for DAI, Pages 79-95
Chapter 5 - Communication-Free Interactions among Rational Agents: A Probabilistic Approach, Pages 99-118
Chapter 6 - Multiagent Compromise via Negotiation, Pages 119-137
Chapter 7 - Conflict-resolution Strategies for Nonhierarchical Distributed Agents, Pages 139-161
Chapter 8 - Constraint-Directed Negotiation of Resource Reallocations, Pages 163-193
Chapter 9 - Plans for Multiple Agents, Pages 197-228
Chapter 10 - Negotiating Task Decomposition and Allocation Using Partial Global Planning, Pages 229-243
Chapter 11 - Mechanisms for Assessing Nonlocal Impact of Local Decisions in Distributed Planning, Pages 245-258
Chapter 12 - An Object-oriented Multiple Agent Planning System, Pages 259-290
Chapter 13 - DATMS: A Framework for Distributed Assumption Based Reasoning, Pages 293-317
Chapter 14 - Experiments on Cage and Poligon: Measuring the Performance of Parallel Blackboard Systems, Pages 319-383
Chapter 15 - Distributing Intelligence within an Individual, Pages 385-412
Chapter 16 - Learning and Adaptation In Distributed Artificial Intelligence Systems, Pages 413-429
Chapter 17 - A Distributed Problem Solving Architecture for Knowledge Based Vision, Pages 433-462
Chapter 18 - The Cooperation of Experts in Engineering Design, Pages 463-484
Chapter 19 - Evaluating Research in Cooperative Distributed Problem Solving, Pages 485-519