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A Neural Model for Animats Brain

  • Guillaume Beslon
  • Hédi Soula
  • Joël Favrel
Conference paper

Abstract

We propose a model of neural controller, the NeuroReactive controller, which is designed to exhibit both the learning abilities of artificial neural networks and the modular structure of reactive control. This model is based on Asynchronous Spikes Propagation (ASP) in a rank-based neural network. The asynchronous propagation of activity interacts with the internal/external loops in which the animat is involved, leading behavioral modules to emerge in the network, in the form of functional clusters.

Keywords

Neural Controller Modular Neural Network Neural Assembly Subsumption Architecture Transportation Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Guillaume Beslon
  • Hédi Soula
  • Joël Favrel
    • 1
  1. 1.PRISMa Lab.INSA de LyonVilleurbanneFrance

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