Allocation of Continuous Resources in Agent Systems: Towards Conquering Uncertainty - Couverture souple

Marecki, Janusz

 
9783639131772: Allocation of Continuous Resources in Agent Systems: Towards Conquering Uncertainty
Couverture souple
ISBN 10 : 3639131770 ISBN 13 : 9783639131772
Editeur : VDM Verlag, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639131770
ISBN 13 
9783639131772
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
non disponible