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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References
G. Beslon, F. Biennier, and J. Favrel. A flexible conveying system based on autonomous vehicles. In proc. of CARs and FoF’95, Colombia, pages 115–120, 1995.
R.A. Brooks. Intelligence without reason. In Proc. of IJGAI’91, pages 569–595, 1991.
E. Domany, J.L.V. Van Hemmen, and K. Schulten (Eds). Model of Neural Networks II; Temporal Aspects of Coding and Information Processing in Biological Systems. Springer-Verlag, 1994.
A.J.C. Sharkey (Eds). Combining Artificial Neural Nets; Ensemble and Modular Multi-Net Systems. Springer-Verlag, 1999.
J.J. Hopfield. Pattern recognition computation using action potential timing for stimulus representation. nature, 376(6535):33-36, jul 1995.
S. Nolfi. Using emergent modularity to develop control systems for mobile robots. Adaptive Behavior, 5(3/4):343–363, 1997.
M. Samuelides, S. Thorpe, and E. Veneau. Implementing hebbian learning in a rank-based neural network. In Proc. of IGANN’97, Lausanne, pages 145–150, 1997.
W. Singer. Synchronization of cortical activity and its putative role in information processing and learning. Annual Review of Physiology, (55):349–374, 1993.
T. Ziemke. On parts and wholes of adaptive behavior: Functional modularity and diachronic structure in reccurrent neural robot controllers. In Proc. of Int. Gonf. on Simulation of Adaptive Behavior, Paris, pages 115–124, 2000.
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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
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