Least action approach to collective behavior

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Abstract
In studying the properties of the attractor of an Iterated Function System, similarities were noted between bacterial chemotaxis and the asymptotic properties of a Random Iteration Algorithm (RIA). We have previously demonstrated global optimization by a swarm of agents using an RIA-like action selection rule, the Random Selection Rule. This capability suggests a least action approach to the specification of collective behaviors. In this paper we present simulations of a simple example of such a behavior--an emergent Braitenberg Vehicle whose frame, propulsion, control and sensing are all emergent properties, evolving from the behavior of simple `chemotactic' agents.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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