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Communication Dans Un Congrès Année : 2010

Guiding for Associative Learning : How to Shape Artificial Dynamic Cognition ?

Résumé

This paper describes an evolutionary robotics experiment, which aims at showing the possibility of learning by guidance in a dynamic cognition perspective. Our model relies on Continuous Time Recurrent Neural Networks and Hebbian plasticity. The agents have the ability to be guided by stimuli and we study the influence of a guidance on their external behavior and internal dynamic when faced with other stimuli. The article develops the experiment and presents some results on the dynamic of the systems.
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Dates et versions

hal-00441128 , version 1 (17-12-2009)

Identifiants

  • HAL Id : hal-00441128 , version 1

Citer

Kristen Manac'H, Pierre de Loor. Guiding for Associative Learning : How to Shape Artificial Dynamic Cognition ?. 10TH European Conference on Artificial Life, Sep 2009, Budapest, Hungary. 8 p. ⟨hal-00441128⟩

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