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

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 t...

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Main Authors: Laroque Philippe, Gaussier Nathalie, Cuperlier Nicolas, Quoy Mathias, Gaussier Philippe
Format: Article
Language:English
Published: De Gruyter 2010-03-01
Series:Paladyn: Journal of Behavioral Robotics
Subjects:
Online Access:https://doi.org/10.2478/s13230-010-0004-2
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spelling doaj-b846943ee16c4b3f942e6f3aa9e2d7c12021-10-02T19:09:35ZengDe GruyterPaladyn: Journal of Behavioral Robotics2081-48362010-03-0111253610.2478/s13230-010-0004-2Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agentsLaroque Philippe0Gaussier Nathalie1Cuperlier Nicolas2Quoy Mathias3Gaussier Philippe4 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 ETIS, UMR 8051 CNRS, Neurocybernetic group, Université de Cergy-Pontoise, 2 rue A. Chauvin, 95302 Cergy-Pontoise, France ETIS, UMR 8051 CNRS, Neurocybernetic group, Université de Cergy-Pontoise, 2 rue A. Chauvin, 95302 Cergy-Pontoise, France ETIS, UMR 8051 CNRS, Neurocybernetic group, Université de Cergy-Pontoise, 2 rue A. Chauvin, 95302 Cergy-Pontoise, FranceStarting 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.https://doi.org/10.2478/s13230-010-0004-2embodied intelligencebiomimetic autonomous systemscognitive mapsimitationsocial intelligencecollective learning
collection DOAJ
language English
format Article
sources DOAJ
author Laroque Philippe
Gaussier Nathalie
Cuperlier Nicolas
Quoy Mathias
Gaussier Philippe
spellingShingle Laroque Philippe
Gaussier Nathalie
Cuperlier Nicolas
Quoy Mathias
Gaussier Philippe
Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
Paladyn: Journal of Behavioral Robotics
embodied intelligence
biomimetic autonomous systems
cognitive maps
imitation
social intelligence
collective learning
author_facet Laroque Philippe
Gaussier Nathalie
Cuperlier Nicolas
Quoy Mathias
Gaussier Philippe
author_sort Laroque Philippe
title Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
title_short Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
title_full Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
title_fullStr Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
title_full_unstemmed Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
title_sort cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
publisher De Gruyter
series Paladyn: Journal of Behavioral Robotics
issn 2081-4836
publishDate 2010-03-01
description 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.
topic embodied intelligence
biomimetic autonomous systems
cognitive maps
imitation
social intelligence
collective learning
url https://doi.org/10.2478/s13230-010-0004-2
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