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dc.contributor.authorBhargava, Nikhil
dc.contributor.authorMuise, Christian
dc.contributor.authorStegun Vaquero, Tiago
dc.contributor.authorWilliams, Brian C
dc.date.accessioned2020-01-22T19:46:48Z
dc.date.available2020-01-22T19:46:48Z
dc.date.issued2018-07
dc.identifier.isbn9780999241127
dc.identifier.urihttps://hdl.handle.net/1721.1/123539
dc.description.abstractIn multi-agent temporal planning, individual agents cannot know a priori when other agents will execute their actions and so treat those actions as uncertain. Only when others communicate the results of their actions is that uncertainty resolved. If a full communication protocol is specified ahead of time, then delay controllability can be used to assess the feasibility of the temporal plan. However, agents often have flexibility in choosing when to communicate the results of their action. In this paper, we address the question of how to choose communication protocols that guarantee the feasibility of the original temporal plan subject to some cost associated with that communication. To do so, we introduce a means of extracting delay controllability conflicts and show how we can use these conflicts to more efficiently guide our search. We then present three conflict-directed search algorithms and explore the theoretical and empirical trade-offs between the different approaches. Keywords: Agent-based and Multi-agent Systems: Multi-agent Planning; Planning and Scheduling: Search in Planning and Scheduling; Planning and Scheduling: Planning and Schedulingen_US
dc.description.sponsorshipToyota Research Institute (Grant LP-C000765-SR)en_US
dc.language.isoen
dc.publisherInternational Joint Conferences on Artificial Intelligenceen_US
dc.relation.isversionofhttps://doi.org/10.24963/ijcai.2018/12en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleManaging Communication Costs under Temporal Uncertaintyen_US
dc.typeArticleen_US
dc.identifier.citationBhargava, Nikhil et al. "Managing Communication Costs under Temporal Uncertainty." Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), July 2018, Stockholm, Sweden, edited by Jerome Lang, International Joint Conferences on Artificial Intelligence, 2018 © 2018 International Joint Conferences on Artificial Intelligenceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. School of Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePosteren_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-11-04T13:20:54Z
dspace.date.submission2019-11-04T13:20:58Z
mit.metadata.statusComplete


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