On the Parallels Between Evolutionary Theory and the State of AI
Erden, Zeki Doruk, Faltings, Boi
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jun-2-2025
- Country:
- South America > Chile
- North America
- Cuba (0.04)
- United States
- New York (0.04)
- Colorado (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Tyne and Wear > Sunderland (0.04)
- Oxfordshire > Oxford (0.04)
- Switzerland > Vaud
- Lausanne (0.04)
- United Kingdom > England
- Asia
- Africa > South Sudan
- Equatoria > Central Equatoria > Juba (0.04)
- Genre:
- Research Report (0.50)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Representation & Reasoning > Agents (1.00)
- Natural Language (1.00)
- Cognitive Science (1.00)
- Robots (0.93)
- Machine Learning
- Neural Networks (1.00)
- Evolutionary Systems (0.93)
- Information Technology > Artificial Intelligence