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AIXI

AIXI /ˈaɪksi/ is a theoretical mathematical formalism for artificial general intelligence. It combines Solomonoff induction with sequential decision theory. AIXI was first proposed by Marcus Hutter in 2000 and several results regarding AIXI are proved in Hutter's 2005 book Universal Artificial Intelligence.

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Definition

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Computational aspects

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Map overview Semantic statistics

AIXI

Nodes29
Edges28
Triples32
Avg. degree1.93
Density0.068966
Components1

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AIXI

Top relations

related to Computational aspects · 10
AIXI → AIXItl, Another, FAC-CTW, However, Like Solomonoff, MC-AIXI, Monte Carlo AIXI FAC-Context-Tree, One, Pac-Man, Weighting
related to Definition · 7
AIXI → At, Furthermore, Markov, Note, RL, The, Turing
related to Etymology · 6
AIXI → According, AI, Greek, Hutter, Solomonoff's, There
related to Optimality · 5
AIXI → AIXI's, Balanced Pareto, For, Pareto, Self-optimizing
related to Parameters · 2
AIXI → The, Turing
is a · 1
AIXI → reinforcement learning

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Important terminology

displaystyle environment agent time rewards program step action actions percepts computable length sum also mu t-1 ldots universal received expected

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
AIXIis areinforcement learning0.90text
partially observable Pac-Maninstance ofwhich has had some success playing simple games0.80text
AIXIrelated to Computational aspectsLike Solomonoff0.60section
AIXIrelated to Computational aspectsHowever0.60section
AIXIrelated to Computational aspectsOne0.60section
AIXIrelated to Computational aspectsAIXItl0.60section
AIXIrelated to Computational aspectsAnother0.60section
AIXIrelated to Computational aspectsMC-AIXI0.60section
AIXIrelated to Computational aspectsFAC-CTW0.60section
AIXIrelated to Computational aspectsMonte Carlo AIXI FAC-Context-Tree0.60section
AIXIrelated to Computational aspectsWeighting0.60section
AIXIrelated to Computational aspectsPac-Man0.60section

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