Dedale : Demonstrating a realistic tesbed for decentralized multi-agents problems

Cédric Herpson (1)

1 SMA - Systèmes Multi-Agents

The Dedale platform is a peer-to-peer multi-agent testbed dedicated to the study of MAS coordination, learning and decision-making problems under realistic hypotheses : Asynchrony, partial ob-servability, uncertainty, heterogeneity, open environments, limited communication and computation. Dedale facilitates the implementation of reproducible and realistic experiments in discrete and (3D) continuous environments. Agents can face cooperative or competitive exploration, patrolling, pickup and delivery, treasure(s) or agent(s) hunt problems with teams of dozens of heterogeneous agents. This paper presents the demonstration elaborated for PAAMS in order to exibit the platform's capabilities.

Mots clés: Agent Platform; Agent Simulation; Testbed; Agent coordination; Agent learning

Domaines: Système multi-agents [cs.MA]; Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Calcul parallèle, distribué et partagé [cs.DC]

Cédric Herpson. Dedale : Demonstrating a realistic tesbed for decentralized multi-agents problems. 18th International Conference on Practical Applications of Agents and multi-agents systems, Oct 2020, Aquila, Italy. ⟨hal-02529626⟩