Cooperative Reuse for Compositional Cases in Multi-agent Systems
Cooperative Reuse for Compositional Cases in Multi-agent Systems
复制标题
多智能体系统中组合案例的协作重用
DOI：
10.1007/11536406_30
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
E. Plaza
中科院分区：
文献类型：
--
作者：
E. Plaza
我们提出了一种基于案例的重用形式，有利于多个CBR代理在问题求解中的协作。首先，我们提出了一种形式的建构性适应配置任务的组成案例。然后介绍了CoopCA，这是一种面向案例重用的多智能体构造性适配技术。代理建议将可能的组件添加到正在进行的配置问题中，从而允许一个开放的分布式过程，其中在不同代理的情况下使用的组件以有原则的方式汇集在一起。此外，代理可以使用他们的案例库来通知基于相似性的可能性，即建议的组件将足以解决当前问题。我们通过将CoopCA应用于代理团队组建任务来说明CoopCA。
We present a form of case-based reuse conducive to the cooperation of multiple CBR agents in problem solving. First, we present a form of constructive adaptation for configuration tasks with compositional cases. We then introduce CoopCA, a multi-agent constructive adaptation technique for case reuse. The agents suggest possible components to be added to the ongoing configuration problem, allowing an open, distributed process where components used in cases of different agents are pooled together in a principled way. Moreover, the agents can use their case base to inform about a similarity-based likelihood that the suggested component will be adequate for the current problem. We illustrate CoopCA by applying it to the task of agent team formation.