Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming

Genesis motivation prediction experiments pattern recognition and classification control system design extension of early evolutionary programming concepts competitive goal-seeking some implications diversification two-person gaming against nonminimax players coevolution, pursuit and evasion modeling time series pattern recognition simulated ecosystems and the nature of intelligence sequence induction with deterministic automata revising and extending early evolutionary programming routing problems comparing crossover, inversion, and mutation specialisations finding structure in data self-adaptation evolving neural networks evolving S-expression and multiple interacting programs games other applications.