Computational Irreducibility as the Foundation of Agency: A Formal Model Connecting Undecidability to Autonomous Behavior in Complex Systems
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Abstract (arXiv)
This article presents a formal model demonstrating that genuine autonomy, the ability of a system to self-regulate and pursue objectives, fundamentally implies computational unpredictability from an external perspective. we establish precise mathematical connections, proving that for any truly autonomous system, questions about its future behavior are fundamentally undecidable. this formal undecidability, rather than mere complexity, grounds a principled distinction between autonomous and non-autonomous systems. our framework integrates insights from computational theory and biology, particularly regarding emergent agency and computational irreducibility, to explain how novel information and purpose can arise within a physical universe. the findings have significant implications for artificial intelligence, biological modeling, and philosophical concepts like free will.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 60 references that are in the map. First posted on arXiv 5 May 2025.
Builds on
5 of 60 references.
References · 5
- 2024Mechanistic Interpretability for AI Safety -- A Reviewcited by 422
- 2016When the map is better than the territorycited by 17
- 2023Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studiescited by 3
- 2013A Turing test for free willcited by 2
- 2024Understanding Biology in the Age of Artificial Intelligencecited by 2
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.