A#: A distributed version of A* for factored planning

L. Jezequel, É. Fabre
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引用次数: 12

Abstract

Factored planning consists in driving a modular or distributed system to a target state, in an optimal manner, assuming all actions are controllable. Such problems take the form of path search in a product of graphs. The state space of each component is a graph, in which one must find a path to the local goal of this component. But when all components are considered jointly, the problem amounts to finding a path in each of these state graphs, while ensuring their compatibility on the actions that must be performed jointly by some components of the system. This paper proposes a solution under the form of a multi-agent version of A*, assembling several A*, each one performing a biased depth-first search in the graph of each component.
a#:用于因子规划的A*的分布式版本
因子规划包括以最优方式将模块化或分布式系统驱动到目标状态,假设所有操作都是可控的。这类问题采用图的乘积中的路径搜索的形式。每个组件的状态空间是一个图,在这个图中必须找到一个到该组件的局部目标的路径。但是,当所有组件被联合考虑时,问题相当于在每个状态图中找到一条路径,同时确保它们在必须由系统的某些组件联合执行的操作上的兼容性。本文提出了一种多智能体版本的a *的解决方案,将多个a *组合在一起,每个a *在每个组件的图中进行有偏差的深度优先搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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