method
active
method:happiness-function-f-hHappiness Function f[h]
Subjective reward signal from Dubey et al. 2022 balancing objective reward, expectations, and comparisons; extended in this paper
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Source of the happiness function f[h] that this paper extends with pain-belief
Methods (1)
method
- Well-Being Function f[w]extendsExtended subjective reward function proposed in this paper combining happiness with pain-belief signal
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.
- Austin's term for the conditions for successful performance of a speech act.
- In RL, a scalar signal from the environment that defines the agent's goal; in active inference, reward is just another observation with associated preference.
- Seven categories determined by which components of f[h] are activated: Objective only, Expect only, Compare only, and combinations
- The challenge that collectives must have diverse functions but equal fitness to maintain individuality without within-group selection disrupting it
- Quantitative metric of closeness of embryo to target pattern; d = (1/N²) Σ(E_ij - T_ij)² with exponential scaling d' = 9^d.
- Learnable invertible transformation in DAS/MAS that rotates latent vectors into aligned subspaces; narrowed to orthogonal matrices Q.
- Similarity measured with respect to network behavior/function rather than statistical correlation of activations.