The Evolution of General Intelligent Behavior

Daniel J. Parks, R. Kent Vail, Erin M. Harpel, and Frank W. Moore

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.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.