CoEvolutionary incremental modelling of robotic cognitive mechanisms

Authors:
Michail Maniadakis;Panos Trahanias
Affiliations:
Foundation for Research and Technology-Hellas, Inst. of Comp. Science, Heraklion, Crete, Greece;Department of Computer Science, University of Crete, Heraklion, Crete, Greece
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

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Abstract

Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The present work introduces a novel computational framework for incremental brain modelling, which aims at enforcing partial components re-usability. A coevolutionary agent-based approach is followed which utilizes properly formulated neural agents to represent brain areas. A collaborative coevolutionary method, with the inherent ability to design cooperative substructures, supports the implementation of partial brain models, and additionally supplies a consistent method to achieve their integration. The implemented models are embedded in a robotic platform to support its behavioral capabilities.