Learning-Feeling Identity

The paper's own framework identifying signed evaluative computation with phenomenal valence in learning systems

Neighborhood — ranked by edge-count

paper

framework

Free Energy Principle
extends
A foundational variational principle from statistical physics that formalizes how self-organizing systems maintain structural integrity and adapt to their environment by minimizing free energy—a mathematical bound on surprise or prediction error. Originally developed by Karl Friston, the framework unifies action, perception, and learning as processes of active inference, where systems both update internal models of the world and act upon it to reduce the divergence between predictions and observations.
Integrated Information Theory
extends
Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
Global workspace theory
extends
Theory of consciousness involving a global workspace for information.
Computational Functionalism
implements
Hypothesis that some class of computations suffices for consciousness; central assumption for AI consciousness route.

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.

Feeling (as distinct from emotion)concept0.775
Alexander distinguishes 'feeling' — the sense of being part of the ocean, sky, world — from emotions like happiness, sadness, or anger
Learningconcept0.773
Inference of parameters encoding contingencies of the world (e.g., likelihood matrix A) at slower timescale than perception.
Feelingconcept0.765
The experiential measure of life; a living process is congruent with and governed by feeling, and the feeling a place presents is the measure of its life.
feeling as mode of perception of the wholeconcept0.752
Grasping wholeness not analytically but through a visceral feeling that arises when paying attention to the whole.
Feelingsconcept0.751
Salient vectors in the space of emotions and intuitions; percepts of emotion, physiological valence, and extra-intellectual evaluation of reality
Concept Learningconcept0.750
Acquisition of new concepts by Bayesian model expansion and reduction.
Feeling (of wholeness)concept0.741
The experiential correlate of deep wholeness; the personal, emotional recognition of life in a structure.
Value Learningconcept0.740
Field of research integrating reward learning and optimization; shown to be unified with perceptual learning via free energy principle.