Evolving game-playing strategies with genetic programming

The idea of applying the biological principle of natural evolution to artificial systems, introduced over four decades ago, has seen impressive growth in the past few years. Evolutionary algorithms have been successfully applied to numerous problems from different domains, including optimization, automatic programming, circuit design, machine learning, economics, immune systems, ecology, and population genetics, to mention but a few. Our group focuses on the evolutionary methodology known as genetic programming.