✳flâneur — a map of the web's best reading

EvoSelf workshop, Gecco 2025

evolving-self-organisation-workshop.github.io · 1,970 words · saved by 1 readers

Recent dramatic advances in the problem-solving capabilities and scale of Artificial Intelligence (AI) systems have enabled their successful application in challenging real-world scientific and engineering problems (Abramson et al 2024, Lam et al 2023). Yet these systems remain brittle to small disturbances and adversarial attacks (Su et al 2019, Cully 2014), lack human-level generalisation capabilities (Chollet 2019), and require alarming amounts of human, energy and financial resources (Strubel et al 2019). Biological systems, on the other hand, seem to have largely solved many of these issues. They are capable of developing into complex organisms from a few cells and regenerating limbs through highly energy-efficient processes shaped by evolution. They do so through self-organisation: collectives of simple components interact locally with each other to give rise to macroscopic properties in the absence of centralised control (Camazine, 2001). This ability to self-organise renders or

EvoSelf workshop, GECCO 2025 Workshop description Recent dramatic advances in the problem-solving capabilities and scale of Artificial Intelligence (AI) systems have enabled their successful application in challenging real-world scientific and engineering problems (Abramson et al 2024, Lam et al 2023). Yet these systems remain brittle to small disturbances and adversarial attacks (Su et al 2019, Cully 2014), lack human-level generalisation capabilities (Chollet 2019), and require alarming amounts of human, energy and financial resources (Strubel et al 2019). Biological systems , on the other h

Explore this link on the map →

related reading