2021/02/24 by Lana Sinapayen, Sinapayen, Lana · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Computers and Society (cs.CY) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.CY #cs.LG #cs.NE
paper · pdf · doi:10.48550/arxiv.2102.12076
5 pages, 2 figures
arxiv created 2021/02/24 · openalex publication_date 2021/02/24 · arxiv published 2021/02/24 · arxiv updated 2021/02/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.