Summary of A New Dynamic Distributed Planning Approach: Application to Dpdp Problems, by Zakaria Tolba
A New Dynamic Distributed Planning Approach: Application to DPDP Problems
by Zakaria Tolba
First submitted to arxiv on: 24 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Multiagent Systems (cs.MA)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed dynamic distributed planning approach accounts for environmental changes by considering the impact on an agent’s planned actions. This is particularly useful in distributed planning scenarios where each agent generates its own plans. The approach relies on genetic algorithms to ensure constraint satisfaction. Whenever a change occurs, an agent updates its plan by incorporating both un-executed old actions and new actions resulting from the modifications. A concrete case study demonstrates the effectiveness of this novel approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates a system that helps agents adapt to changing environments by updating their plans accordingly. The method uses special algorithms to make sure the changes comply with certain rules. Whenever something changes, each agent makes a new plan that includes both old and new actions. This is shown using a real-world example, which proves how useful this approach can be. |
