1 / 8

Coordinating Agents’ Plans

Coordinating Agents’ Plans. Discussion. Presentation Topics. companies that share a resource that must be scheduled finding joint goals to meet individual preferences representing and evaluating privacy transforming representations for other algorithms

minda
Download Presentation

Coordinating Agents’ Plans

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Coordinating Agents’ Plans Discussion

  2. Presentation Topics • companies that share a resource that must be scheduled • finding joint goals to meet individual preferences • representing and evaluating privacy • transforming representations for other algorithms • system architecture for continual planning/scheduling • decoupling relationships among agents

  3. Topics • What are the real motivations for multiagent planning? • What are the current trends in research? • What are the next best directions for research? • What are the next worst directions for research? • Are market-driven approaches suitable for self-interested problems? • How do we (or should we) connect better with planning community? • What is interesting about the online problem wrt multiple agents? • Should we research how to design a multiagent planning/scheduling? • What guidance do we have (and should we take) from applications? • To what extent should research consider humans as part of the problem? • Should there be more benchmarks or competitions?

  4. What are the real motivations for multiagent planning? • privacy • autonomy • central point of failure? • communication constraints • responding quickly to local incidents • self-interest • parallelism? • others?

  5. What are the current trends in research? • market-based scheduling • MDPs • TÆMS • DCSP/DCOP • HCI / mixed-initiative • adjustable autonomy

  6. What are the next best/worst directions for research? • best • market-based scheduling • MDPs • TÆMS • how to design a multiagent system from scratch • worst

  7. Are market-driven approaches suitable for self-interested problems? • water-treatment? • goal-choices based on preferences?

  8. Should there be more benchmarks or competitions? Maybe we can use existing competition benchmarks: • robocup rescue • coordinator’s CTAEMS • trading agent competition (eg supply chain)

More Related