On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Biologically inspired approaches to robotics: what can we learn from insects?
Communications of the ACM
Walknet—a biologically inspired network to control six-legged walking
Neural Networks - Special issue on neural control and robotics: biology and technology
Experimental Reaction–Diffusion Chemical Processors for Robot Path Planning
Journal of Intelligent and Robotic Systems
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Evolving reaction-diffusion controllers for minimally cognitive animats
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Evolving reaction-diffusion systems on GPU
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Virtual spatiality in agent controllers: encoding compartmentalization
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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This article describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a minimally cognitive animat. The RD system chosen was that first described by Gray and Scott, and the minimally cognitive behaviors were those used by Beer et al. involving the fixation and discrimination of diamond and circle shapes by a whiskered animat. A further task was added, which required the RD controllers to maintain and use a chemical memory. The parameters of these controllers were evolved using an evolutionary, or genetic, algorithm.