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Active Inference Ontology
Ontology ~ Proposed Definitions
Ontology ~ Proposed Definitions
Ontology ~ Proposed Definitions view
Term
Tag
Proposed_Def_1
Proposed_Def_2
Proposed_Def_3
Proposed_Def_4
1
Accuracy
Core
2
Action
Core
3
Action Planning
Core
4
Action prediction
Core
5
Active Inference
Core
6
Active Learning
Core
7
Active States
Core
8
Active Vision
Core
9
Affordance
Core
10
Agency
Core
11
Agent
Core
12
Ambiguity
Core
13
Attention
Core
14
Autopoiesis
Core
15
Bayesian Inference
Core
16
Behavior
Core
17
Belief
Core
18
Belief updating
Core
19
Blanket States
Core
20
Cognition
Core
21
Complexity
Core
22
Cue
Core
23
Culture
Core
24
Data
Core
25
Decision-making
Core
26
Ensemble
Core
27
Epistemic value
Core
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.
28
Ergodicity
Core
29
Evidence
Core
30
Expected Free Energy
Core
31
External States
Core
32
Free Energy
Core
33
Free Energy Principle
Core
34
Friston Blanket
Core
35
Generalized Free Energy
Core
36
Generative model
Core
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.
37
Generative Process
Core
38
Hidden state
Core
39
Hierarchical Model
Core
40
Inference
Core
41
Information
Core
42
Information Geometry
Core
43
Internal States
Core
44
Latent cause
Core
45
Living system
Core
46
Markov Blanket
Core
(Statistical) partitioning of system of interest, from environment, by an interface or boundary. A minimal Markov blanket is known as a Markov boundary.
47
Markov Decision Process
Core
48
Markovian Monism
Core
49
Model Inversion
Core
50
Multi-scale system
Core
51
Narrative (model)
Core
52
Niche
Core
53
Non-Equilibrium Steady State
Core
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).
54
Novelty
Core
55
Observation
Core
56
Particle
Core
57
Perception
Core
58
Policy
Core
59
Policy selection
Core
60
Posterior
Core
61
Pragmatic value
Core
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.
62
Prediction
Core
63
Principle
Core
64
Process Theory
Core
65
Recognition Models
Core
66
Regime of Attention
Core
67
Representation
Core
68
Risk
Core
69
Salience
Core
70
Sense States
Core
71
State
Core
72
State space
Core
Set of variables/parameters that describe a system.
A state space is the set of all possible configurations of a system
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Surprise
Core
74
System
Core
Set of relations
Differentiable and Integratable in terms of Variables and functions.
Betweenness/Relational (observer & ecology)
75
Temporal Depth
Core
76
Uncertainty
Core
77
Variational
Core
78
Variational free-energy
Core
79
Abstract Action
Supplement
80
Abstract action prediction
Supplement
81
Abstract Bayesian Inference
Supplement
82
Abstract epistemic value
Supplement
83
Abstract External State
Supplement
84
Abstract Generative Model
Supplement
85
Abstract Hidden State
Supplement
86
Abstract Internal State
Supplement
87
Abstract Sensory State
Supplement
88
Abstract System
Supplement
89
AbstractAccuracy
Supplement
90
Action
Supplement
91
Action and Planning as Divergence Minimization
Supplement
92
Action at a distance
Supplement
93
Action Integral
Supplement
94
Active Inference
Supplement
95
Agency based model
Supplement
96
Agency free model
Supplement
97
Alignment (of internal states)
Supplement
98
Appraisal theories of emotion
Supplement
99
Attenuation of response
Supplement
100
Augmented reality
Supplement
101
Bayes-optimal control
Supplement
102
Bayesian
Supplement
103
Bayesian Brain
Supplement
104
Bayesian surprise
Supplement
105
Belief updating
Supplement
106
Bottom-up attentional control
Supplement
107
Cognitive Science
Supplement
108
Cognitive System
Supplement
109
Cognitivism
Supplement
110
Collective behavior
Supplement
111
Conditional density
Supplement
112
Conditional Probability
Supplement
113
Congruence
Supplement
114
Connectionism
Supplement
115
Control (states)
Supplement
116
Control theory
Supplement
117
Counterfactual
Supplement
118
Cybernetics
Supplement
119
Density
Supplement
120
Deontic Action
Supplement
121
Development
Supplement
122
Dissisipation
Supplement
123
Divergence (Kullback–Leibler)
Supplement
124
Domain
Supplement
125
Domain-generality
Supplement
126
Domain-specificity
Supplement
127
Dynamic causal modelling
Supplement
128
Dynamic expectation maximization
Supplement
129
Dynamicism
Supplement
130
Ecology
Supplement
131
Ecology, Evolution, Development
Supplement
132
Embedded Embodied Encultured Enactive Inference
Supplement
133
Embodied Cybernetic Complexity
Supplement
134
EmbodiedBelief
Supplement
135
Emotion
Supplement
136
Empirical prior
Supplement
137
Enactivism
Supplement
138
Entropy
Supplement
139
Estimator
Supplement
140
Event-related potential (ERP)
Supplement
141
Evolution
Supplement
142
Expectation maximization
Supplement
143
Expected Utility Theory
Supplement
144
Experience of body ownership (EBO)
Supplement
145
Explaining Away
Supplement
146
Explanation
Supplement
147
Extended Cognition
Supplement
148
Falsification
Supplement
149
Far-from-equilibrium
Supplement
150
Fokker-Planck Equation
Supplement
151
Foraging
Supplement
152
Friston's Law
Supplement
153
functional magnetic resonance imaging (fMRI)
Supplement
154
Gaussian distribution
Supplement
155
Generalized coordinates
Supplement
156
Generalized Synchrony
Supplement
157
Generative density
Supplement
158
Generative modelling
Supplement
159
Gestalt
Supplement
160
Goal-driven selection
Supplement
161
Gradient Descent
Supplement
162
Group Renormalization Theory
Supplement
163
Guidance signal
Supplement
164
Habit learning/formation
Supplement
165
Hamilton's Principle of Least Action
Supplement
166
Helmholtz (inference) machine
Supplement
167
Hierarchically Mechanistic Mind
Supplement
168
Homeostasis
Supplement
169
Homeostatic system
Supplement
170
Homeostatic system
Supplement
171
Hyperprior
Supplement
172
Hypothesis
Supplement
173
Information bottleneck (IB)
Supplement
174
Interoception
Supplement
175
Interoceptive sensitivity
Supplement
176
Inverse problem
Supplement
177
Lateral geniculate nucleus
Supplement
178
Likelihood
Supplement
179
Marr's Levels of Description
Supplement
180
Material science
Supplement
181
Memory
Supplement
182
Message Passing
Supplement
183
Mismatch negativity
Supplement
184
Model
Supplement
185
Model accuracy
Supplement
186
Morphogenesis
Supplement
187
Multisensory integration
Supplement
188
Neuronal Ensemble
Supplement
189
Niche construction
Supplement
190
Noisy signal
Supplement
191
Non-linear dynamical systems
Supplement
192
Optimal control
Supplement
193
Precision
Supplement
194
Prediction error
Supplement
195
Prediction error minimization
Supplement
196
Predictive Coding
Supplement
197
Predictive coding (PC)
Supplement
198
Predictive Processing
Supplement
199
Prior
Supplement
200
Random variable
Supplement
201
Receptive field
Supplement
202
Recognition density
Supplement
203
Representationalism
Supplement
204
Reservoir Computing
Supplement
205
Reward
Supplement
206
Salience
Supplement
207
Sample space
Supplement
208
Selection bias
Supplement
209
Selection history
Supplement
210
Self-organization
Supplement
211
Selfhood
Supplement
212
Semi-Markovian
Supplement
213
Sense of agency
Supplement
214
Sensory attenuation
Supplement
215
Sensory Data
Supplement
216
Sensory input
Supplement
217
Sensory outcome
Supplement
218
Shared Generative Model ('Shared Narrative')
Supplement
219
Signal
Supplement
220
Simulation
Supplement
221
Sophisticated Inference
Supplement
222
spike-timing dependent plasticity
Supplement
223
Stigmergy
Supplement
224
Stochastic
Supplement
225
Subjective feeling states
Supplement
226
Surprisal
Supplement
227
Synergetics
Supplement
228
Teams
Supplement
229
Theory
Supplement
230
Thermodynamic system
Supplement
231
Thermostatistics
Supplement
232
Thinking Through Other Minds
Supplement
233
Top-down attentional control
Supplement
234
Umwelt
Supplement
235
Unidirectionality or "mere" active inference
Supplement
236
Variational Niche Construction
Supplement
237
Von Economo neurons (VENs)
Supplement
238
Weak mixing
Supplement
239
Working memory
Supplement
240
World States (World Systems)
Supplement
241
Interface
Supplement
242
active
Entailed
243
area
Entailed
244
attitude
Entailed
245
backbone
Entailed
246
causality
Entailed
247
computer
Entailed
248
concentration
Entailed
249
concept
Entailed
250
consensus
Entailed
251
conversation
Entailed
252
current
Entailed
253
default-mode
Entailed
254
dynamics
Entailed
255
ego
Entailed
256
energy
Entailed
257
environment
Entailed
258
error
Entailed
259
feedback
Entailed
260
field
Entailed
261
framework
Entailed
262
free
Entailed
263
genetic
Entailed
264
hierarchical
Entailed
265
idea
Entailed
266
increase
Entailed
267
influence
Entailed
268
interpretation
Entailed
269
inverse
Entailed
270
language
Entailed
271
machine
Entailed
272
metaphor
Entailed
273
neuronal
Entailed
274
object
Entailed
275
objective
Entailed
276
observer
Entailed
277
parameter
Entailed
278
part
Entailed
279
perceptual inference
Entailed
280
perspective
Entailed
281
phase
Entailed
282
physics
Entailed
283
play
Entailed
284
probability
Entailed
285
Probably Approximately Correct (PAC)
Entailed
286
problem
Entailed
287
propositional
Entailed
288
purpose
Entailed
289
question
Entailed
290
random
Entailed
291
recognition
Entailed
292
role
Entailed
293
science
Entailed
294
selection
Entailed
295
self-organization
Entailed
296
social
Entailed
297
states
Entailed
298
technology
Entailed
299
understanding
Entailed
300
resource
Entailed
301
tree
Entailed
302
abstractCounterpart
Entailed
303
represents
Entailed
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