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- W2185157207 abstract "We introduce the Multiagent Disjunctive Temporal Problem (MaDTP), a new distributed formulation of the widely-adopted Disjunctive Temporal Problem (DTP) representation. An agent that generates a summary of all viable schedules, rather than a single schedule, can be more useful in dynamic environments. We show how a (Ma)DTP with the properties of minimality and decomposability provides a particularly efficacious solution space summary.However, in the multiagent case, these properties sacrifice an agent's strategic interests while incurring significant computational overhead. We introduce a new property called local decomposability that exploits loose-coupling between agents' problems, protects strategic interests, and supports typical queries. We provide and evaluate a new distributed algorithm that summarizes agents' solution spaces in significantly less time and space by using local, rather than full, decomposability." @default.
- W2185157207 created "2016-06-24" @default.
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- W2185157207 date "2021-09-20" @default.
- W2185157207 modified "2023-10-17" @default.
- W2185157207 title "A Distributed Approach to Summarizing Spaces of Multiagent Schedules" @default.
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- W2185157207 doi "https://doi.org/10.1609/aaai.v26i1.8368" @default.
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