Human and Computer Learning Together In the Exteriorized Particle Swarm

@inproceedings{KennedyHumanAC,
  title={Human and Computer Learning Together In the Exteriorized Particle Swarm},
  author={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. 

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