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. Language: English