Soft control of swarms: Analytical approach

We analytically study the collective dynamics of mutually interacting heterogeneous agents evolving in a random environment. Our formal framework consists of a collection of JV scalar drifted Brownian motions (BM) diffusing on R. The mutual interactions are introduced via a ranked-based, real-time mechanism always endowing the laggard (i.e the agent with the leftmost position) with an extra positive drift. The extra drift generates a net tendency for any agents not to remain the laggard of the society. For well chosen individual and extra laggard's drifts, the agents organize with time to flock towards a tight and stable travelling spatial pattern. For a population of (N - 1) identical agents and an atypical fellow (called hereafter the shill), we are able to analytically discuss the dynamics. In particular we exhibit how a single turbulent shill, stylized here by a ballistic diffusion process, can destroy the cohesion of a swarm. Conversely, we also analytically show how a single shill is able to safely pilot a whole swarm to avoid an obstacle, via interactions with its fellows. A series of simulations experiments comfort our analytic findings.

Published in:
Proceedings of the 5th International Conference on Agents and Artificial Intelligence, 1, 147-153
Presented at:
ICAART 2013 - 5th international conference on agents and artificial intelligence, Barcelona (Spain), 16 February 2013

 Record created 2013-06-02, last modified 2018-01-28

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