|
gptkbp:instanceOf
|
gptkb:academic
|
|
gptkbp:challenge
|
complexity of Go
difficulty for traditional AI methods
large search space
|
|
gptkbp:competition
|
gptkb:Computer_Olympiad
KGS Go Server tournaments
|
|
gptkbp:containsCommunity
|
Go AI developers
computer-go mailing list
|
|
gptkbp:focusesOn
|
gptkb:artificial_intelligence
computer programs
game of Go
|
|
gptkbp:hasApplication
|
gptkb:reinforcement_learning
AI research
game theory
pattern recognition
|
|
gptkbp:hasLanguage
|
gptkb:Java
gptkb:Python
gptkb:C++
|
|
gptkbp:hasResource
|
Sensei's Library
|
|
gptkbp:hasWebsite
|
https://computer-go.org
|
|
gptkbp:historicalPeriod
|
early Go programs in 1960s
significant progress after 2006
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Computer Go
|
|
gptkbp:influencedBy
|
advancement of AI
influence on other board games
public awareness of AI
|
|
gptkbp:milestone
|
AlphaGo defeats Lee Sedol in 2016
Development of Monte Carlo tree search in Go programs
First computer program defeats professional Go player
|
|
gptkbp:notableEvent
|
gptkb:AlphaGo_vs_Ke_Jie
gptkb:AlphaGo_vs_Lee_Sedol
|
|
gptkbp:notableProgram
|
gptkb:KataGo
gptkb:Leela_Zero
gptkb:AlphaGo
|
|
gptkbp:organization
|
gptkb:International_Computer_Games_Association
Computer Go Symposium
|
|
gptkbp:publishedIn
|
gptkb:ICGA_Journal
gptkb:IEEE_Transactions_on_Computational_Intelligence_and_AI_in_Games
|
|
gptkbp:relatedTo
|
gptkb:machine_learning
deep learning
Monte Carlo tree search
|
|
gptkbp:supportsAlgorithm
|
gptkb:reinforcement_learning
neural networks
pattern matching
Monte Carlo tree search
|
|
gptkbp:trainer
|
Go game records
GoGoD database
KGS Go Server archives
|
|
gptkbp:bfsParent
|
gptkb:Nested_MCTS
gptkb:Computer_Chess
|
|
gptkbp:bfsLayer
|
7
|