Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Swarm-Bot: A New Distributed Robotic Concept
Autonomous Robots
Self-organisation and communication in groups of simulated and physical robots
Biological Cybernetics
Evolution of signalling in a group of robots controlled by dynamic neural networks
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
The emergence of communication by evolving dynamical systems
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Origins of communication in evolving robots
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Evolution of robust data distribution among digital organisms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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In this paper we describe a model in which artificial evolution is employed to design neural mechanisms that control the motion of two autonomous robots required to communicate through sound to perform a common task. The results of this work are a "proof-of-concept": they demonstrate that evolution can exploit a very simple sound communication system, to design the mechanisms that allow the robots cooperate by employing acoustic interactions. The analysis of the evolved strategies uncover the basic properties of the communication protocol.