framework
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framework:idealized-world-model-discrete-events

Idealized World Model (discrete events)

Mathematical formalization of a world with T discrete events and bijective observation functions, used to prove PMI convergence

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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.

  • The joint distribution over events in the world that generate observed data; the proposed endpoint of representational convergence
  • Mathematical formalism used in active inference for modeling hierarchical and discrete brain processes.
  • AI assumption that its goals and beliefs are essentially and always true; contrasted with wise world model in Figure 3
  • The capacity of a model to self-report on its internal emotional state when its SAE features are steered, used here as a measurement tool
  • World Modelsconcept0.727
    Theme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
  • Computational models of crystal growth that produce rough overall symmetry but fail to explain the detailed identical sub-symmetries on snowflake arms
  • Metzinger's concept of the self as a sustained representation; distinguished from consciousness itself in CIMC's framework