Coordination of distributed problem solvers

1 Overview.- 1.1 Partial Global Planning: A Unified Approach to Dynamic Coordination.- 1.2 Research Issues.- 1.3 Relationship to Previous Research.- 1.4 Guides for the Reader.- 2 Distributed Problem Solving and the DVMT.- 2.1 The Experimental Domain.- 2.2 The Problem-Solving Knowledge.- 2.3 Control of Problem Solving.- 2.4 Coordination and Organization of Nodes.- 2.5 Specifying Problem-Solving Environments.- 2.6 Network Simulation.- 2.7 Problem-Solving Examples.- 2.8 Limitations of the DVMT.- 2.9 How This Work Builds on the DVMT.- 3 Identifying Local Goals Through Clustering.- 3.1 Background.- 3.2 Overview.- 3.3 Details.- 3.4 Generalizing.- 4 Planning Local Problem Solving.- 4.1 Background.- 4.2 Overview.- 4.3 Details.- 4.4 Generalizing.- 5 Local Planning: Experiments and Evaluation.- 5.1 Local Planning Experiments.- 5.2 Local Planning Evaluation.- 6 Recognizing Partial Global Goals.- 6.1 Background.- 6.2 Overview.- 6.3 Details.- 6.4 Generalizing.- 7 Coordination Through Partial Global Planning.- 7.1 Background.- 7.2 Overview.- 7.3 Details.- 7.4 Generalizing.- 8 Partial Global Planning: Experiments and Evaluation.- 8.1 Partial Global Planning Experiments.- 8.2 Evaluation.- 9 Conclusions.- 9.1 Summary.- 9.2 Research Issues Revisited.- 9.3 Future Research Directions.- 9.4 Contributions.- Acknowledgments.