Using emergent modularity to develop control systems for mobile robots
Adaptive Behavior - Special issue on environment structure and behavior
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Dimensionality reduction through sensory-motor coordination
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
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BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Highly modular architecture for the general control of autonomous robots
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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In previous woks we have introduced a distributed neural architecture for the generation of complex behaviors in evolutionary robotics. In this paper we show how this architecture is able to create its own categories about the sensed world of a robot by direct interaction of the body with the environment. The distributed elements of the architecture cooperate to express the categories on an inner world that is easily accessible from the outside. We conclude the paper with an explanation of how the inner world created by the robot can be used to gain some insight into the mind-body problem.