Our current research goal, in co-evolutionary machine learning, is to discover whether complex systems of great logical depth, with tens of billions of functionally relevant moving parts, can be evolved in a timely and stable fashion within the medium of pure information processing. Apparent computational complexity in physical systems. Angeline, P., Saunders, G., and Pollack, P. 1994. An evolutionary algorithm that constructs recurrent networks. Angeline, P.J., and Pollack, J.B. 1993.
Competitive environments evolve better solutions to complex problems.
Fifth International Conference on Genetic Algorithms. Pollack, J.B. 1991. The Induction of Dynamical Recognizers. Pollack, J.B. 1990. Recursive Distributed Representations.