A Multiagent Planning Language
نویسنده
چکیده
This paper discusses specific features of planning in multiagent domains and presents concepts for a multiagent extension of PDDL, the Multiagent Planning Language MAPL (“maple”). MAPL uses non-boolean state variables and thus allows to describe an agent’s ignorance of facts as well as a simplified mutex concept. The time model of MAPL is based on Simple Temporal Networks and allows both quantitavive and qualitative use of time in plans, thereby subsuming the plan semantics of both partial order plans and PDDL 2.1.
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