On the Parallels Between Evolutionary Theory and the State of AI
Zeki Doruk Erden, Boi Faltings
TL;DR
This paper explores parallels between evolutionary biology and AI, suggesting that insights from evolutionary developmental biology can inspire new AI design paradigms to overcome current limitations.
Contribution
It draws novel parallels between evolutionary theory and AI, proposing that advances in evolutionary biology can inform innovative AI development strategies.
Findings
Identifies limitations in current AI methods.
Highlights how evolutionary biology insights can inform AI.
Proposes a new paradigm for AI design inspired by evolution.
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.
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Computability, Logic, AI Algorithms