The art of thinking · Mind and moral status
Computational functionalism
Also known as: Functionalism (philosophy of mind), Substrate independence
In philosophy of mind, computational functionalism is the position that performing computations of the right kind is sufficient for having mental states, including consciousness, whatever the physical substrate that performs them.
- Thinking models
- Philosophy
- Philosophy of mind
In one sentence
Computational functionalism holds that the right kind of computation is sufficient for consciousness, whatever the substrate. A position, not a result.
Example
Under computational functionalism, a silicon system that carried out the same functional organization as a human brain would be conscious; under biological naturalism, it would not need to be.
Explained in context
Context cards connect this term with others to answer one question. Also in British English and German.
How it applies
- The working assumption of the indicator approach: Researchers who assess AI systems against indicators derived from scientific theories of consciousness (global workspace, recurrent processing, higher-order theories and others) adopt computational functionalism as a working hypothesis. Without it, checking an architecture for such indicators would say nothing about consciousness. Butlin et al. set out this method in Trends in Cognitive Sciences (2025).
- Contested premise: The position is not established. Biological, embodied and enactive accounts deny that computation alone is sufficient; see biological naturalism. A text that relies on computational functionalism should say so.
- In documentation and policy texts: An indicator assessment is a scientific finding conditional on a contested premise. Report it with that condition, and never as a statement that a system is or is not conscious.
Computational functionalism vs. biological naturalism
Computational functionalism says that the right computation is enough, so the substrate does not matter. Biological naturalism says that consciousness is caused by specific biological processes, so running a program is not enough. The two positions lead to opposite answers about AI systems with the same architecture; current evidence does not decide between them.
External references
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