Understanding intelligence
Artificial Life: An Overview
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Synchronization of Internal Neural Rhythms in Multi-Robotic Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Self-organizing sync in a robotic swarm: a dynamical system view
IEEE Transactions on Evolutionary Computation
Evolution of acoustic communication between two cooperating robots
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Towards artificial evolution of complex behaviors observed in insect colonies
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
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In the context of minimally cognitive behavior, we used multi-robotic systems to investigate the emergence of communication and cooperation during the evolution of recurrent neural networks The networks are systematically analyzed to identify their relevant dynamical properties Evolution efficiently adapts these properties through small structural changes within the networks when specific environmental conditions are altered, such as the number of interacting robots The findings signify the importance of reducing the predefined knowledge about resulting behaviors, dynamical properties of control, and the topology of neural networks in order to utilize the strength of the Evolutionary Robotics approach to Artificial Life.