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Allocation of Continuous Resources in Agent Systems
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This monograph concentrates on reasoning techniques for §intelligent, autonomous agent systems. In particular,§it focuses on §planning techniques for both single and multi-agent§systems acting §in uncertain domains. In modeling these domains, two§types of §uncertainty are considered: (i) the outcomes of agent§actions are §uncertain and (ii) the amount of resources consumed§by agent §actions is uncertain and only characterized by§continuous §probability density functions. For solving planning§problems §modeled in these domains the monograph proposes a§class of §efficient algorithms that provide guarantees on the§solution quality. §The experimental evaluation of the proposed§algorithms shows up §to three orders of magnitude speedups in solving§single agent §planning problems and up to one order of magnitude§speedup in §solving multi-agent planning problems. Additionally,§it is §demonstrated how the proposed algorithms allow for§more efficient §rescue operation in a large-scale disaster simulation.
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