English

Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence

Artificial Intelligence 2021-02-25 v1 Computers and Society Machine Learning Neural and Evolutionary Computing

Abstract

Complex systems fail. I argue that failures can be a blueprint characterizing living organisms and biological intelligence, a control mechanism to increase complexity in evolutionary simulations, and an alternative to classical fitness optimization. Imitating biological successes in Artificial Life and Artificial Intelligence can be misleading; imitating failures offers a path towards understanding and emulating life it in artificial systems.

Keywords

Cite

@article{arxiv.2102.12076,
  title  = {Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence},
  author = {Lana Sinapayen},
  journal= {arXiv preprint arXiv:2102.12076},
  year   = {2021}
}

Comments

5 pages, 2 figures

R2 v1 2026-06-23T23:27:40.541Z