Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 28 references that are in the map. First posted on arXiv 24 Feb 2021.
Builds on
3 of 28 references.
References · 3
- 2014Explaining and Harnessing Adversarial Examplescited by 7,364
- 2013Intriguing properties of neural networkscited by 5,155
- 2015Towards Biologically Plausible Deep Learningcited by 66
Built on by
Citing papers per year: 2021: 1.
1 paper.