Levels of dynamics and adaptive behavior in evolutionary neural controllers
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
PEEC: evolving efficient connections using Pareto optimality
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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The current work addresses the problem of redesigning brain-inspired artificial cognitive systems in order to gradually enrich them with advanced cognitive skills In the proposed approach, properly formulated neural agents are employed to represent brain areas A cooperative coevolutionary method, with the inherent ability to co-adapt substructures, supports the design of agents Interestingly enough, the same method provides a consistent mechanism to reconfigure (if necessary) the structure of agents, facilitating follow-up modelling efforts In the present work we demonstrate partial redesign of a brain-inspired cognitive system, in order to furnish it with learning abilities The implemented model is successfully embedded in a simulated robotic platform which supports environmental interaction, exhibiting the ability of the improved cognitive system to adopt, in real-time, two different operating strategies.