concept
active
concept:learning-landscape

Learning landscape

The combination of neural weights and SOHMs that defines the brain's learning space.

Neighborhood — ranked by edge-count

Concepts (1)

concept
  • Adam Safron's framework for neural building blocks functioning as symmetry detectors/autoencoders; tanha-free awareness theorized as direct feeling of undoctored SOHMs.

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.

  • Learningconcept0.799
    Inference of parameters encoding contingencies of the world (e.g., likelihood matrix A) at slower timescale than perception.
  • The combination of SOHMs and vascular tension that defines the brain's inference process.
  • Fitness Landscapeconcept0.780
    Kauffman's concept of the coupling between an evolving genotype and its fitness landscape as generating internal ordering tendencies in evolution
  • Structure Learningconcept0.752
    Updating the structure of the generative model to better account for observations via Bayesian model reduction and expansion.
  • Inner Landscapeconcept0.747
    The internalized structure of a living world that becomes part of a person's self-knowledge.
  • How well an RL agent learns, measured by reward curves and associated with causal emergence levels.
  • Learning paradigm that jointly learns multiple related tasks using a single model
  • Sentience criterion; capacity occurs even in gene regulatory networks and non-neural morphogenetic agents.