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Authors: Guillaume Sartoretti and Max-Olivier Hongler

Affiliation: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

ISBN: 978-989-8565-38-9

Keyword(s): Rank-based Brownian Motions, Heterogeneous Autonomous Agents, Soft-control of Swarms, Exact Analytic Solvable Models, Super-diffusive Shill Agent, Flocking.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Collective Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Self Organizing Systems ; Software Engineering ; Symbolic Systems

Abstract: We analytically study the collective dynamics of mutually interacting heterogeneous agents evolving in a random environment. Our formal framework consists of a collection of N 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. (More)

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Paper citation in several formats:
Sartoretti, G. and Hongler, M. (2013). Soft Control of Swarms - Analytical Approach.In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 147-153. DOI: 10.5220/0004176301470153

@conference{icaart13,
author={Guillaume Sartoretti. and Max{-}Olivier Hongler.},
title={Soft Control of Swarms - Analytical Approach},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={147-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004176301470153},
isbn={978-989-8565-38-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Soft Control of Swarms - Analytical Approach
SN - 978-989-8565-38-9
AU - Sartoretti, G.
AU - Hongler, M.
PY - 2013
SP - 147
EP - 153
DO - 10.5220/0004176301470153

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