The role of the environment in collective perception: A generic complexity measure

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Résumé

We propose a novel generic information-theoretic framework for characterizing the task difficulty in the Collective Perception paradigm. Our formalism builds on the notion of Empowerment - a task-independent, universal and generic utility function, which characterizes the level of perceivable control an embodied agent has over its environment. Series of simulations with an empowerment model of the collective perception scenario revealed a significant correlation between the levels of empowerment and the accuracy demonstrated by a set of standard collective decision-making strategies and a recent state-of-the-art neural network controller on nine benchmark patterns, used previously for assessing swarm performance. The results elucidate the key role of both the agent embodiment and the environmental pattern in characterising task difficulty, and justify the application of empowerment to analytically assess this role, which could help predict swarm performance and support the development of more efficient decision-making strategies.
langue originaleAnglais
titreALIFE 2023: Ghost in the Machine
Sous-titreProceedings of the 2023 Artificial Life Conference
rédacteurs en chefHiroyuki Iizuka, Keisuke Suzuki, Ryoko Uno, Luisa Damiano, Nadine Spychala, Miguel Aguilera, Eduardo Izquierdo, Reiji Suzuki, Manuel Baltieri
EditeurMIT Press
Pages82-91
Les DOIs
Etat de la publicationPublié - 1 juil. 2023
EvénementALIFE 2023: Ghost in the machine - Sapporo, Japon
Durée: 24 juil. 202328 juil. 2023
http://2023.alife.org

Série de publications

NomThe 2023 Conference on Artificial Life

Une conférence

Une conférenceALIFE 2023
Pays/TerritoireJapon
La villeSapporo
période24/07/2328/07/23
Adresse Internet

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