On the Parallels Between Evolutionary Theory and the State of AI
Neurons and Cognition
2025-06-02 v1 Machine Learning
Neural and Evolutionary Computing
Adaptation and Self-Organizing Systems
Abstract
This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology, and highlight how advancements in evolutionary theory that augmented the Modern Synthesis, particularly those of Evolutionary Developmental Biology, offer insights that can inform a new design paradigm for AI. By synthesizing findings across AI and evolutionary theory, we propose a pathway to overcome existing limitations, enabling AI to achieve its aspirational goals.
Keywords
Cite
@article{arxiv.2505.23774,
title = {On the Parallels Between Evolutionary Theory and the State of AI},
author = {Zeki Doruk Erden and Boi Faltings},
journal= {arXiv preprint arXiv:2505.23774},
year = {2025}
}
Comments
Published at the Evolving Self-Organization Workshop in GECCO 2025