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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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 |
work_keys_str_mv |
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