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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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Marecki JanuszJanusz Marecki is a scientist at IBM T.J. Watson Center and anvisiting professor at the nAcademy of Computer Science (WSIZ). He holds a PhD fromnUniversity of Southern nCalifornia and a DrSc from Institute of Informatio. Bestandsnummer des Verkäufers 4960323
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Taschenbuch. Zustand: Neu. Allocation of Continuous Resources in Agent Systems | Towards Conquering Uncertainty | Janusz Marecki | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639131772 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101645402
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph concentrates on reasoning techniques for intelligent, autonomous agent systems. In particular,it focuses on planning techniques for both single and multi-agentsystems acting in uncertain domains. In modeling these domains, twotypes of uncertainty are considered: (i) the outcomes of agentactions are uncertain and (ii) the amount of resources consumedby agent actions is uncertain and only characterized bycontinuous probability density functions. For solving planningproblems modeled in these domains the monograph proposes aclass of efficient algorithms that provide guarantees on thesolution quality. The experimental evaluation of the proposedalgorithms shows up to three orders of magnitude speedups in solvingsingle agent planning problems and up to one order of magnitudespeedup in solving multi-agent planning problems. Additionally,it is demonstrated how the proposed algorithms allow formore efficient rescue operation in a large-scale disaster simulation. Bestandsnummer des Verkäufers 9783639131772
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