Discovering Sensing Capability in Multi-agent Systems

Cristina Parpaglione, J. M. Santos
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Abstract

Which should the sensing capabilities of agents in a Multiagent System be to solve a problem efficiently, fast and with low cost? This question often appears when trying to solve a problem using Multiagent System. This paper introduces a method to find out these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters values. The individual behavior of the agents are found with Reinforcement Learning.
发现多智能体系统的感知能力
为了高效、快速、低成本地解决问题,多智能体系统中智能体的感知能力应该是什么?在尝试使用多代理系统解决问题时,经常出现这个问题。为了解决给定的问题,本文介绍了一种求出这些传感能力的方法。为此,采用参数化函数对智能体的感知能力进行建模,然后利用遗传算法求解参数值。通过强化学习发现智能体的个体行为。
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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