Coordination and multi-tasking using EMT

Zinovi Rabinovich*, Nir Pochter, Jeffrey S. Rosenschein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a multi-model variant of the EMT-based control algorithm. The new algorithm, MM-EMT, is capable of balancing several control tasks expressed using separate dynamic models with a common action space. Such multiple models are common in both single-agent environments, when the agent has multiple tasks to achieve, and in team activities, when agent actions affect both the local agent's task as well as the overall team's coordination. To demonstrate the behaviour that MM-EMT engenders, several experimental setups were devised. Simulation results support the effectiveness of the approach, which in the multi-agent scenario is expressed in the MM-EMT algorithm's ability to balance local and team-coordinated motion requirements.

Original languageEnglish
Title of host publicationAAAI-08/IAAI-08 Proceedings - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference
Pages144-149
Number of pages6
StatePublished - 2008
Event23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08 - Chicago, IL, United States
Duration: 13 Jul 200817 Jul 2008

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume1

Conference

Conference23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08
Country/TerritoryUnited States
CityChicago, IL
Period13/07/0817/07/08

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