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Intention-Aware Multiagent Scheduling

Dann, Michael; Thangarajah, John; Yao, Yuan; Logan, Brian

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Authors

Michael Dann

John Thangarajah

Yuan Yao

Brian Logan



Contributors

B. An
Editor

N. Yorke-Smith
Editor

A. El Fallah Seghrouchni
Editor

G. Sukthankar
Editor

Abstract

The Belief Desire Intention (BDI) model of agency is a popular and mature paradigm for designing and implementing multiagent systems. There are several agent implementation platforms that follow the BDI model. In BDI systems, the agents typically have to pursue multiple goals, and often concurrently. The way in which the agents commit to achieving their goals forms their intentions. There has been much work on scheduling the intentions of agents. However, most of this work has focused on scheduling the intentions of a single agent with no awareness and consideration of other agents that may be operating in the same environment. They schedule the intentions of the single-agent in order to maximise the total number of goals achieved. In this work, we investigate techniques for scheduling the intentions of an agent in a multiagent setting, where an agent is aware (or partially aware) of the intentions of other agents in the environment. We use a Monte Carlo Tree Search (MCTS) based approach and show that our intention-aware scheduler generates better outcomes in cooperative, neutral (selfish) and adversarial settings than the state-of-the-art schedulers that do not consider other agents' intentions.

Citation

Dann, M., Thangarajah, J., Yao, Y., & Logan, B. (2020). Intention-Aware Multiagent Scheduling. In B. An, N. Yorke-Smith, A. El Fallah Seghrouchni, & G. Sukthankar (Eds.), Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)

Presentation Conference Type Conference Paper (Published)
Conference Name 19th International Conference on Autonomous Agents and Multiagent Systems
Start Date May 9, 2020
End Date May 13, 2020
Acceptance Date Feb 26, 2020
Online Publication Date May 13, 2020
Publication Date May 13, 2020
Deposit Date May 1, 2020
Publicly Available Date May 13, 2020
Book Title Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)
ISBN 97814503-5184
Public URL https://nottingham-repository.worktribe.com/output/4355921
Publisher URL http://ifaamas.org/Proceedings/aamas2020/
Related Public URLs http://ifaamas.org

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