For this first one-day workshop on the topic of Constraints and AI Planning we take a broad view stemming from the observation that there are fundamental differences in representing and reasoning about a problem via constraints, as is common in CP and optimization, and doing so in the form of a state-transition system, as is common in AI planning, heuristic search, and dynamic programming. Therefore we hope to attract presentations and discussions on the interactions, overlaps, and differences among CP, SAT, mixed integer programming, AI planning in its many forms (e.g., classical, numeric, temporal, stochastic), heuristic search (i.e., A*-style state-based search) and dynamic programming. We are particularly interested in combinations of two or more perspectives. This workshop should interest researchers from academia and industry in the areas of constraint programming, operations research, and AI planning.
Main areas of interest include, but are not restricted to:
08月27日
2018
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