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Une Simulation Multi-Agent Basée sur l'Affordance pour Contraindre l'Emergence

Benoît Doussin 1 Nicolas Verstaevel 1 Benoit Gaudou 1 Elsy Kaddoum 1 Frederic Amblard 1 
1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : In this paper we describe a model in which some desired constraints or interactions are directly described in the environment. The idea is to allow the user to specify directly in the model the interactions that he wants to be able to observe at a macroscopic level by defining two agent roles, the Enabler, which offer certain action potentialities, and the Consumer who can achieve them. We base our model on the concept of Affordance and propose a first implementation on the Paul Sabatier Campus.
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https://ut3-toulouseinp.hal.science/hal-03725040
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Submitted on : Friday, July 15, 2022 - 5:12:33 PM
Last modification on : Sunday, October 30, 2022 - 3:50:18 AM
Long-term archiving on: : Monday, October 17, 2022 - 2:57:30 PM

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  • HAL Id : hal-03725040, version 1

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Benoît Doussin, Nicolas Verstaevel, Benoit Gaudou, Elsy Kaddoum, Frederic Amblard. Une Simulation Multi-Agent Basée sur l'Affordance pour Contraindre l'Emergence. Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), AFIA, Jun 2022, Saint-Etienne, France. pp.77-83. ⟨hal-03725040⟩

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