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-insight

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 insight.

Normative criterion for artificial intelligence derived from variational free energy principle

Source paper

extracted_from
Active Inference, Curiosity and Insight
(2017) · Karl Friston · Marco Lin · Chris Frith · Giovanni Pezzulo +2

Neighborhood — ranked by edge-count

Concepts (2)

concept
  • Deep Learning
    contradicts
    Learning 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
  • Shows variational and thermodynamic free energy share the same minimum; links thermodynamic efficiency to variational principles

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.