Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Object-oriented analysis (2nd ed.)
Object-oriented analysis (2nd ed.)
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Sequential behavior and learning in evolved dynamical neural networks
Adaptive Behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Information and Computation
Principles of Object-Oriented Software Development
Principles of Object-Oriented Software Development
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neuromorphic Systems: Engineering Silicon from Neurobiology
Neuromorphic Systems: Engineering Silicon from Neurobiology
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
A Simple Aplysia-Like Spiking Neural Network to Generate Adaptive Behavior in Autonomous Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Evolving spiking neuron controllers for phototaxis and phonotaxis
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Spiking neural controllers for pushing objects around
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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Animal nervous systems have evolved to use spiking neurons but the 'artificial nervous systems' of animats typically are designed, not evolved, and use networks of formal, artificial neurons. We describe the evolution of circuits of spiking neurons for a robot, motivated by the desire to study links between neurophysiology and behaviour in artificial and (ultimately) natural animals. Spiking neurons have computational capabilities additional to those of artificial neurons based on activation functions. In particular, they should be better suited to processing temporal sequences. Thus, we describe early work aimed at evolution of neural circuitry which, when implanted in a Braitenberg type 2b vehicle, promotes phototaxis behaviour in the form of movement towards flashing lights of a particular frequency. The longer-term aim is to evolve natural taxis behaviours such as that observed in the cricket.