The evolution of general intelligent behavior continues to be an important goal of genetic programming research. This paper advocates the development of more appropriate problem definitions and models, using the classic artificial ant problem as an example. Our research demonstrates that generalized trail-following behavior can be achieved in the artificial ant through the evolution of a reactive control system.
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