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A Neural Model for Animats Brain

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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.

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© 2001 Springer-Verlag Wien

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Beslon, G., Soula, H., Favrel, J. (2001). A Neural Model for Animats Brain. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_87

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  • DOI: https://doi.org/10.1007/978-3-7091-6230-9_87

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83651-4

  • Online ISBN: 978-3-7091-6230-9

  • eBook Packages: Springer Book Archive

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