Epistemic value is......
From Karl: Epistemic value is the information gain or reduction in uncertainty about latent states afforded by the outcomes of a particular policy. It is variously known as Bayesian surprise, epistemic affordance, the value of information, intrinsic motivation and so on. Mathematically, it is the KL divergence between beliefs about latent states before and after the outcomes of a policy. Epistemic value is the value of a policy that is a functional of beliefs about the causes of sensations.
Generalized Free Energy
A formalism that describes the mapping between inferred hidden states/causes, and expected outcomes/observations
RECOGNITION models update internal parameters that correspond to external states (including hidden causes of environmental states), blanket states, and internal states (meta-modeling). In contrast, GENERATIVE models take those same internal parameter estimates and emit expected or plausible observations.
(Statistical) partitioning of system of interest, from environment, by an interface or boundary. A minimal Markov blanket is known as a Markov boundary.
Markov Decision Process
Non-Equilibrium Steady State
Technically, a steady-state requires a solution to the Fokker Planck equation (i.e., density dynamics). A nonequilibrium steady-state solution entails solenoidal (i.e., conservative or divergence free) dynamics that break detailed balance (and underwrite stochastic chaos). In other words, The dynamics of systems at nonequilibrium steady-state are not time reversible (unlike equilibrium steady states, in which the flow is entirely dissipative).
Pragmatic value is the benefit to an organism of a given policy or action, measured in terms of probability of a policy leading to a characteristic outcome (for the agent in question)
Pragmatic value describes the extent to which a given action is aligned with rewarding preferences over sensory outcomes.
Set of variables/parameters that describe a system.
A state space is the set of all possible configurations of a system
Set of relations
Differentiable and Integratable in terms of Variables and functions.
Betweenness/Relational (observer & ecology)
Abstract action prediction
Abstract Bayesian Inference
Abstract epistemic value
Abstract External State
Abstract Generative Model
Abstract Internal State
Abstract Sensory State
Action and Planning as Divergence Minimization
Alignment (of internal states)
Appraisal theories of emotion
Attenuation of response
Bottom-up attentional control
Dynamic causal modelling
Dynamic expectation maximization
Ecology, Evolution, Development
Embedded Embodied Encultured Enactive Inference
Embodied Cybernetic Complexity
Event-related potential (ERP)
Expected Utility Theory
Experience of body ownership (EBO)
functional magnetic resonance imaging (fMRI)
Group Renormalization Theory
Hamilton's Principle of Least Action
Helmholtz (inference) machine
Hierarchically Mechanistic Mind
Information bottleneck (IB)
Lateral geniculate nucleus
Marr's Levels of Description
Non-linear dynamical systems
Prediction error minimization
Predictive coding (PC)
Shared Generative Model ('Shared Narrative')
spike-timing dependent plasticity
Subjective feeling states
Thinking Through Other Minds
Top-down attentional control
Unidirectionality or "mere" active inference
Variational Niche Construction
Von Economo neurons (VENs)
World States (World Systems)
Probably Approximately Correct (PAC)