Self-organization of multiple-agents using information theoretic interactions

被引：0

作者：

Thogulua, R ^{[1
]}

Erdogmus, D ^{[1
]}

Principe, JC ^{[1
]}

机构：

[1] Univ Florida, Elect & Comp Engn Dept, Gainesville, FL 32611 USA

来源：

INTELLIGENT CONTROL SYSTEMS AND SIGNAL PROCESSING 2003 | 2003年

关键词：

self-organizing systems; decentralized control; mobile robots; maximum entropy;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The recent sprout in the application of swarm intelligence to problems in varied fields has proved that this visionary technology is becoming practical. However, the organization and coordination of swarms is either heuristic or based on centralized approaches. In this paper, we propose a principled decentralized approach based on an information theoretic interaction principle to self-organize swarms. The goal of our algorithm is to spread the robots uniformly over a circular region using entropy maximization while guiding the collective towards a target. This algorithm minimizes the cost of the robots, since it is requires minimal hardware for its operation. Copyright (C) 2003 IFAC

引用

页码：523 / 528

页数：6

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