Swarm Intelligence: Theoretical Proof that Empirical Techniques are Optimal - Robotics Institute Carnegie Mellon University

Swarm Intelligence: Theoretical Proof that Empirical Techniques are Optimal

D. Iourinski, S. A. Starks, V. Kreinovich, and S. F. Smith
Conference Paper, Proceedings of 5th Biannual World Automation Congress, pp. 107 - 112, June, 2002

Abstract

A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).

BibTeX

@conference{Iourinski-2002-120507,
author = {D. Iourinski and S. A. Starks and V. Kreinovich and S. F. Smith},
title = {Swarm Intelligence: Theoretical Proof that Empirical Techniques are Optimal},
booktitle = {Proceedings of 5th Biannual World Automation Congress},
year = {2002},
month = {June},
pages = {107 - 112},
}