Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Understanding intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Evolutionary Computation: The Fossil Record
Evolutionary Computation: The Fossil Record
Reinforcement Learning
Machine Learning
A Theory of Networks for Approximation and Learning
A Theory of Networks for Approximation and Learning
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Fast learning in networks of locally-tuned processing units
Neural Computation
Evolution of simple behavior patterns for autonomous robotic agent
ICOSSSE'07 Proceedings of the 6th WSEAS international conference on System science and simulation in engineering
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An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered -- a radial basis function neural network trained by evolutionary algorithm, and a traditional reinforcement learning algorithm over a finite agent state space. A comparison of these two approaches is presented on the maze exploration problem.