Human and Computer Learning Together in the Exteriorized Particle Swarm

James Kennedy

The particle swarm is a computer algorithm for function optimization based on simulation of principles of human social behavior. Individual problem-solution vectors interact in a population until a criterion is met. The present experiment replaces one of the computational agents with a human being. It is shown that the human performs as well as the computational beings on an extremely simple problem, and worse than them on a harder one.

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.