Artificial consciousness: a perspective from the free energy principle
Philosophical Studies June 26, 2024 DOI: 10.1007/s11098-024-02182-y (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that a certain kind of causal flow, present in self-organising systems but absent in classical computers, can distinguish systems that simulate consciousness from those that replicate it. |
Abstract
Does the assumption of a weak form of computational functionalism, according to which the right form of neural computation is sufficient for consciousness, entail that a digital computational simulation of such neural computations is conscious? Or must this computational simulation be implemented in the right way, in order to replicate consciousness? From the perspective of Karl Friston’s free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are not instantiated by computers with a classical (von Neumann) architecture. I argue that at least one of these properties, viz. a certain kind of causal flow, can be used to draw a distinction between systems that merely simulate, and those that actually replicate consciousness.
Citations in the library
Cited by 7
- Implementing artificial consciousness Mind & Language November 17, 2024
- The Ātma-Wave Life Cycle Framework: Bridging Vedāntic Metaphysics, Modern Physics, and State Transitions of Consciousness Poornaprajna International Journal of Philosophy & Languages September 24, 2026
- What matters is not what lies dormant beneath: why AI consciousness is not about biological substrates Synthese March 31, 2026
- From hidden springs to endless oceans: exploring the complementary roles of the amygdala and hippocampus in phenomenal experience. Neuroscience of Consciousness 2026
- What can the free energy principle tell us about artificial consciousness? Behavioral and Brain Sciences 2026
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- The feasibility of artificial consciousness through the lens of neuroscience. Trends in Neurosciences December 1, 2023
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