Artificial minds
Market-oriented programming: some early lessons
Market-based control
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Robotics and Autonomous Systems
Exploiting analogical representations
Robotics and Autonomous Systems
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An empirical work is described which compares the optimization levels produced by a group of economic agents versus those of a similar group of economic agents which additionally employ a genetic algorithm (GA) to attain a higher level of optimization. The problem domain is multimodal. It incorporates multiple hard and soft constraints and dynamical behaviors. It also has areas of infeasibility and non-linear behaviors. The simulated model environment provides several types of sensors, actuators and opportunities for interagent resource mediation. Evidence is offered to support the theory that multiple weak methods operating in concert, on a shared problem, can produce better results than the individual weak methods acting alone. The problem area is resistant to the use of strong methods.