|
gptkbp:instanceOf
|
gptkb:logic
algorithmic probability model
|
|
gptkbp:approximatedBy
|
gptkb:Levin_search
minimum description length principle
|
|
gptkbp:basedOn
|
algorithmic information theory
|
|
gptkbp:describes
|
universal prediction
|
|
gptkbp:field
|
gptkb:artificial_intelligence
gptkb:machine_learning
inductive inference
|
|
gptkbp:goal
|
formalize inductive reasoning
predict future data from past data
|
|
gptkbp:hasConcept
|
gptkb:Kolmogorov_complexity
gptkb:universal_Turing_machine
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Solomonoff induction
|
|
gptkbp:influenced
|
algorithmic learning theory
universal artificial intelligence
theory of prediction
|
|
gptkbp:limitation
|
incomputability
uncomputability
|
|
gptkbp:namedAfter
|
gptkb:Ray_Solomonoff
|
|
gptkbp:proposedBy
|
gptkb:Ray_Solomonoff
|
|
gptkbp:publishedIn
|
Information and Control
|
|
gptkbp:relatedTo
|
gptkb:AIXI
gptkb:Occam's_razor
Bayesian inference
algorithmic probability
universal prior
|
|
gptkbp:yearProposed
|
1960
|
|
gptkbp:bfsParent
|
gptkb:Levin_search
gptkb:Logical_Induction
gptkb:Ray_Solomonoff
gptkb:Solomonoff's_theory_of_inductive_inference
gptkb:James_D._Solomon
|
|
gptkbp:bfsLayer
|
6
|