Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents

Paladyn: Journal of Behavioral Robotics

Cuperlier Nicolas¹  Laroque Philippe¹  Quoy Mathias¹  Gaussier Philippe¹  Gaussier Nathalie² 

[1] ETIS, UMR 8051 CNRS, Neurocybernetic group, Université de Cergy-Pontoise, 2 rue A. Chauvin, 95302 Cergy-Pontoise, France;GREThA, UMR 5113 CNRS, Equipe IERSO, Université Montesquieu Bordeaux IV, Avenue Léon Duguit 33 608 Pessac, France;

关键词: embodied intelligence;    biomimetic autonomous systems;    cognitive maps;    imitation;    social intelligence;    collective learning;   

DOI  :  10.2478/s13230-010-0004-2

来源: DOAJ

【 摘 要 】

Starting from neurobiological hypotheses on the existence of place cells (PC) in the brain, the aim of this article is to show how little assumptions at both individual and social levels can lead to the emergence of non-trivial global behaviors in a multi-agent system (MAS). In particular, we show that adding a simple, hebbian learning mechanism on a cognitive map allows autonomous, situated agents to adapt themselves in a dynamically changing environment, and that even using simple agent-following strategies (driven either by similarities in the agent movement, or by individual marks - “signatures” - in agents) can dramatically improve the global performance of the MAS, in terms of survival rate of the agents. Moreover, we show that analogies can be made between such a MAS and the emergence of certain social behaviors.

【 授权许可】

Unknown