|
gptkbp:instance_of
|
gptkb:video_game
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Ke_Jie
|
|
gptkbp:aftermath
|
Lee Sedol retired from competitive Go
|
|
gptkbp:architectural_style
|
gptkb:microprocessor
|
|
gptkbp:broadcasts
|
live streamed
|
|
gptkbp:championship
|
not a formal tournament
|
|
gptkbp:community_engagement
|
high
|
|
gptkbp:cultural_impact
|
increased popularity of Go
|
|
gptkbp:current_champion
|
gptkb:Alpha_Go
|
|
gptkbp:date
|
March 2016
|
|
gptkbp:developer
|
gptkb:philosopher
|
|
gptkbp:events
|
gptkb:Google_Deep_Mind_Challenge_Match
|
|
gptkbp:famous_for
|
increased after match
|
|
gptkbp:fan_base
|
emerged after match
|
|
gptkbp:fan_engagement
|
supported him during match
|
|
gptkbp:final_score
|
4-1
|
|
gptkbp:finale_date
|
March 15, 2016
|
|
gptkbp:historical_significance
|
pivotal moment in AI development
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Game against Alpha Go
|
|
gptkbp:impact
|
increased interest in AI
|
|
gptkbp:influence
|
on AI development.
on future Go strategies
|
|
gptkbp:is_played_by
|
gptkb:Alpha_Go
gptkb:Lee_Sedol
|
|
gptkbp:latest_version
|
Alpha Go Lee
|
|
gptkbp:legacy
|
influenced AI research
inspired future Go players
|
|
gptkbp:location
|
gptkb:Seoul,_South_Korea
|
|
gptkbp:loser
|
gptkb:Lee_Sedol
|
|
gptkbp:match_type
|
best of five
|
|
gptkbp:media_coverage
|
extensive
|
|
gptkbp:movement
|
calculated and efficient
|
|
gptkbp:nationality
|
gptkb:Monarch
|
|
gptkbp:next_event
|
inspired further AI competitions
|
|
gptkbp:notable_for
|
gptkb:Move_37
|
|
gptkbp:notable_match
|
March 9, 2016
|
|
gptkbp:notable_performers
|
widely analyzed by experts
|
|
gptkbp:number_of_games
|
gptkb:5
|
|
gptkbp:number_of_matches
|
several hours
conducted by experts
extensive discussions
|
|
gptkbp:performance
|
superhuman level
|
|
gptkbp:rank
|
gptkb:technology
9 dan professional
|
|
gptkbp:result
|
Alpha Go won four games
Lee Sedol won one game
|
|
gptkbp:retired
|
after the match
|
|
gptkbp:retirement_year
|
after achieving goals
|
|
gptkbp:side_effect
|
surprised by loss
|
|
gptkbp:significance
|
first major defeat of Alpha Go
|
|
gptkbp:tactics
|
reinforcement learning
creative and unconventional
|
|
gptkbp:technique
|
intensive study
|
|
gptkbp:training
|
self-play
|
|
gptkbp:type
|
gptkb:sports_event
|
|
gptkbp:viewership
|
millions of viewers
|
|
gptkbp:vision
|
changed public perception of AI
|
|
gptkbp:winner
|
gptkb:Alpha_Go
|
|
gptkbp:year
|
gptkb:2016
|