AAAI 1994
Divide and Conquer in Multi-Agent Planning
Abstract
In this paper, we suggest an approach to multiagent planning that contains heuristic elements. Our method makes use of subgoals, and derived sub-plans, to construct a global plan. Agents solve their individual sub-plans, which are then merged into a global plan. The suggested approach may reduce overall planning time and derives a plan that approximates the optimal global plan that would have been derived by a central planner, given those original subgoals. We consider two different scenarios. The first involves a group of agents with a common goal. The second considers how agents can interleave planning and execution when planning towards a common, though dynamic, goal.
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Context
- Venue
- AAAI Conference on Artificial Intelligence
- Archive span
- 1980-2026
- Indexed papers
- 28718
- Paper id
- 435404796679639914