|
gptkbp:instance_of
|
gptkb:program
|
|
gptkbp:awarded_to
|
various accolades
|
|
gptkbp:case_analysis
|
AI ethics
|
|
gptkbp:competes_with
|
human players
|
|
gptkbp:defeated
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gptkb:Ke_Jie
|
|
gptkbp:developed_by
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gptkb:Deep_Mind
|
|
gptkbp:has_a_match_against
|
gptkb:Lee_Sedol
|
|
gptkbp:has_a_reputation_for
|
unconventional strategies
|
|
gptkbp:has_achieved
|
ranked number one in Go
|
|
gptkbp:has_community
|
enthusiasts
|
|
gptkbp:has_connection_to
|
cognitive science
|
|
gptkbp:has_historical_significance
|
gptkb:Artificial_Intelligence
|
|
gptkbp:has_impact_on
|
AI development
|
|
gptkbp:has_influenced
|
future AI projects
|
|
gptkbp:has_inspired
|
new AI algorithms
|
|
gptkbp:has_legacy
|
gptkb:Gaming
|
|
gptkbp:has_natural_feature
|
self-play training
|
|
gptkbp:has_relationship_with
|
human cognition
|
|
gptkbp:has_role
|
AI competitions
|
|
gptkbp:historical_achievement
|
gptkb:machine_learning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Alpha Go Master
|
|
gptkbp:is_a_reference_for
|
AI developers
|
|
gptkbp:is_a_subject_of
|
gptkb:philosopher
academic studies
debate in AI ethics
|
|
gptkbp:is_a_tool_for
|
research in AI
|
|
gptkbp:is_analyzed_in
|
AI researchers
|
|
gptkbp:is_associated_with
|
gptkb:Deep_Mind_Technologies
|
|
gptkbp:is_celebrated_for
|
its strategic gameplay
|
|
gptkbp:is_compared_to
|
human intelligence
|
|
gptkbp:is_featured_in
|
gptkb:documentaries
|
|
gptkbp:is_known_for
|
high-level play
|
|
gptkbp:is_part_of
|
gptkb:AI_technology
AI history
the future of AI
the history of Go
|
|
gptkbp:is_played_by
|
gptkb:Go
|
|
gptkbp:is_recognized_by
|
the tech community
|
|
gptkbp:is_recognized_for
|
defeating top Go players
|
|
gptkbp:latest_version
|
gptkb:Alpha_Go
|
|
gptkbp:notable_feature
|
uses self-play training
|
|
gptkbp:part_of_series
|
Alpha Go series
|
|
gptkbp:performance
|
AI performance in games
|
|
gptkbp:predecessor
|
gptkb:Alpha_Zero
|
|
gptkbp:provides_training_for
|
reinforcement learning
|
|
gptkbp:rank
|
top Go player
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:successor
|
Alpha Go Lee
|
|
gptkbp:uses
|
gptkb:neural_networks
gptkb:machine_learning
|
|
gptkbp:utilizes
|
gptkb:Monte_Carlo_tree_search
|
|
gptkbp:was_a_demonstration_of
|
AI capabilities
|
|
gptkbp:bfsParent
|
gptkb:Alpha_Go
gptkb:Google_Deep_Mind_Challenge_Match
|
|
gptkbp:bfsLayer
|
5
|