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- AIXI abstract "AIXI ['ai̯k͡siː] 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 the results below are proved in Hutter's 2005 book Universal Artificial Intelligence.AIXI is a reinforcement learning agent;it maximizes the expected total rewards received from the environment.Intuitively, it simultaneously considers every computable hypothesis.In each time step, it looks at every possible program and evaluates how many rewards that program generates depending on the next action taken.The promised rewards are then weighted by the subjective belief that this program constitutes the true environment.This belief is computed from the length of the program: longer programs are considered less likely, in line with Occam's razor. AIXI then selects the action that has the highest expected total reward in the weighted sum of all these programs.".
- AIXI wikiPageID "30511763".
- AIXI wikiPageLength "5615".
- AIXI wikiPageOutDegree "17".
- AIXI wikiPageRevisionID "706097978".
- AIXI wikiPageWikiLink Artificial_general_intelligence.
- AIXI wikiPageWikiLink Category:Decision_theory.
- AIXI wikiPageWikiLink Category:Machine_learning.
- AIXI wikiPageWikiLink Category:Statistical_inference.
- AIXI wikiPageWikiLink Decision_theory.
- AIXI wikiPageWikiLink Marcus_Hutter.
- AIXI wikiPageWikiLink Mathematical_logic.
- AIXI wikiPageWikiLink Monotone_class_theorem.
- AIXI wikiPageWikiLink Occams_razor.
- AIXI wikiPageWikiLink Pac-Man.
- AIXI wikiPageWikiLink Pareto_efficiency.
- AIXI wikiPageWikiLink Partially_observable_system.
- AIXI wikiPageWikiLink Reinforcement_learning.
- AIXI wikiPageWikiLink Solomonoffs_theory_of_inductive_inference.
- AIXI wikiPageWikiLink Subjective_logic.
- AIXI wikiPageWikiLink Universal_Turing_machine.
- AIXI wikiPageWikiLinkText "AIXI".
- AIXI wikiPageWikiLinkText "Universal Artificial Intelligence".
- AIXI wikiPageUsesTemplate Template:ArXiv.
- AIXI wikiPageUsesTemplate Template:Citation_needed.
- AIXI wikiPageUsesTemplate Template:Doi.
- AIXI wikiPageUsesTemplate Template:IPA-all.
- AIXI wikiPageUsesTemplate Template:Reflist.
- AIXI subject Category:Decision_theory.
- AIXI subject Category:Machine_learning.
- AIXI subject Category:Statistical_inference.
- AIXI hypernym Formalism.
- AIXI type ProgrammingLanguage.
- AIXI comment "AIXI ['ai̯k͡siː] 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 the results below are proved in Hutter's 2005 book Universal Artificial Intelligence.AIXI is a reinforcement learning agent;it maximizes the expected total rewards received from the environment.Intuitively, it simultaneously considers every computable hypothesis.In each time step, it looks at every possible program and evaluates how many rewards that program generates depending on the next action taken.The promised rewards are then weighted by the subjective belief that this program constitutes the true environment.This belief is computed from the length of the program: longer programs are considered less likely, in line with Occam's razor. ".
- AIXI label "AIXI".
- AIXI sameAs Q18204908.
- AIXI sameAs m.010xc891.
- AIXI sameAs Q18204908.
- AIXI wasDerivedFrom AIXI?oldid=706097978.
- AIXI isPrimaryTopicOf AIXI.