claim
active
claim:a-measure-of-the-quality-of-intelligence-is-the-thermodynamic-efficiency-with-which-it-can-be-simulated-solutions-requiring-large-computation-violate-hamilton-s-principle-and-are-not-candidates-for-artificial-intelligence-capable-of-insightA measure of the quality of intelligence is the thermodynamic efficiency with which it can be simulated; solutions requiring large computation violate Hamilton's principle and are not candidates for artificial intelligence capable of insight.
Normative criterion for artificial intelligence derived from variational free energy principle
Source paper
extracted_from(2017) · Karl Friston · Marco Lin · Chris Frith · Giovanni Pezzulo +2
Neighborhood — ranked by edge-count
Concepts (2)
concept
- Deep LearningcontradictsLearning hierarchical representations of non-decomposable functions; proposed as formal equivalent to ETI process.
- Neuronal dynamics conform to Hamilton's principle via free energy minimization; connects to physics.
Methods (1)
method
- Jarzynski EqualitysupportsShows variational and thermodynamic free energy share the same minimum; links thermodynamic efficiency to variational principles
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Implication of PRH for 'scale is all you need' argument
- Speculative suggestion for a mathematical formalization.
- Expands the definition of intelligence to include non-behavioral problem-solving, enabling comparison across diverse substrates.
- William James definition of intelligence; foundational to paper's framing of competency and problem-solving as core invariants.
- Predicts that care-driven expansion of concern leads to higher intelligence.