CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms

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.

• Type: Conference
• Year: 2005
• Where: ECAL
• Authors: Michail Maniadakis, Panos E. Trahanias
• Keywords: Brain Models, Coevolutionary Agent-based Approach, ECAL 2005, Partial Brain Models