Abstract
The recently developed genetic programming paradigm
provides a way to genetically breed a computer program
to solve a wide variety of problems. Genetic
programming employs Darwinian survival and reproduction
of the fittest and the genetic crossover (sexual
recombination) operation to evolve progressively better
solutions to problems. In this chapter, a computer
program that governs the behaviour of a group of
independently acting agents is genetically evolved to
solve the painted desert problem. The evolved program
exhibits emergent and cooperative behavior.
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