AI Consciousness is Inevitable: A Theoretical Computer Science Perspective
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Abstract (arXiv)
We look at consciousness through the lens of Theoretical Computer Science, a branch of mathematics that studies computation under resource limitations, distinguishing functions that are efficiently computable from those that are not. From this perspective, we develop a formal machine model for consciousness. The model is inspired by Alan Turing's simple yet powerful model of computation and Bernard Baars' theater model of consciousness. Though extremely simple, the model (1) aligns at a high level with many of the major scientific theories of human and animal consciousness, (2) provides explanations at a high level for many phenomena associated with consciousness, (3) gives insight into how a machine can have subjective consciousness, and (4) is clearly buildable. This combination supports our claim that machine consciousness is not only plausible but inevitable.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 5 of its 88 references that are in the map. First posted on arXiv 25 Mar 2024.
Builds on
5 of 88 references.
References · 5
- 2020Deep Learning and the Global Workspace Theorycited by 35
- 2021A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machinecited by 22
- 2020A Theoretical Computer Science Perspective on Consciousnesscited by 8
- 2022Brainish: Formalizing A Multimodal Language for Intelligence and Consciousnesscited by 4
- 2022A Theoretical Computer Science Perspective on Free Willcited by 2
Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024Preliminaries to artificial consciousness: a multidimensional heuristic approachcited by 4
- 2025Beyond Mimicry: Preference Coherence in LLMscited by 2
- 2026Just aware enough: Evaluating awareness across artificial systemscited by 1
- 2026What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertaintycited by 1
- 2026What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty3 Mar 2026
- 2026Just aware enough: Evaluating awareness across artificial systems21 Jan 2026
- 2025Beyond Mimicry: Preference Coherence in LLMs17 Nov 2025
- 2024Preliminaries to artificial consciousness: a multidimensional heuristic approach29 Mar 2024