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URL: http://www.cs.ucla.edu/~dyer/Papers/Alife94Position.html

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Abstract

The tasks that animals perform require a high degree of intelligence. Animals forage for food, migrate, navigate, court mates, rear offspring, defend against predators, construct nests, and so on. These tasks commonly require social interaction/cooperation and are accomplished by animal nervous systems, which are the result of billions of years of evolution and complex developmental/learning processes. The Artificial Life (AL) approach to synthesizing intelligent behavior is guided by this biological perspective. In this article we examine some of the numerous open problems in synthesizing intelligent animal behavior (especially cooperative behavior involving communication) that face the field of AL, a discipline still in its infancy.

Keywords: artificial neural networks, evolution of communication, evolution of predation, cooperative behavior, genetic algorithm

@article{dyer94alife,
  author={Michael G. Dyer},
  title={Toward Synthesizing Artificial Neural Networks that Exhibit Cooperative Intelligent Behavior: Some Open Issues in Artificial Life},
  journal={Artificial Life},
  year={1994},
  volume={1},
  number={1},
  pages={111-134},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/dyer94alife.html},
  keywords={artificial neural networks, evolution of communication, evolution of predation, cooperative behavior, genetic algorithm}
}