Multi-agent Reactive Planning for Solving Plan Failures

被引：0

作者：

Guzman-Alvarez, Cesar ^{[1
]}

Castejon, Pablo ^{[1
]}

Onaindia, Eva ^{[1
]}

Frank, Jeremy ^{[2
]}

机构：

[1] Univ Politecn Valencia, Camino Vera S-N, E-46071 Valencia, Spain

[2] NASA, Ames Res Ctr, Moffett Field, CA USA

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS | 2013年 / 8073卷

关键词：

reactive planner; multi-agent planner; coordination; execution;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a multi-agent reactive planning mechanism for recovering from plan failures with the help of multiple agents. Our contribution is twofold: a proposal of a dynamic execution architecture embedded into a more general multi-agent planning framework, and a mechanism based on statetransition systems that allows execution agents to reactively and cooperatively attend a plan failure during execution. Specifically, we propose a flexible dynamic execution architecture that allows agents to find solutions for a successful plan execution during a plan failure.

引用

页码：530 / 539

页数：10

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