Statements (108)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
gptkb:program |
| gptkbp:analyzes |
historical games
proposed moves pro games |
| gptkbp:available_on |
gptkb:Git_Hub
|
| gptkbp:can_analyze_games |
in real-time
|
| gptkbp:can_be_customized_with |
gptkb:users
|
| gptkbp:can_be_used_for |
research purposes
|
| gptkbp:can_create |
training data
move suggestions |
| gptkbp:can_provide |
game statistics
real-time analysis move suggestions |
| gptkbp:developed_by |
gptkb:Team_Kata_Go
gptkb:David_Wu community feedback improving Go strategies |
| gptkbp:emulation |
different playing styles
game scenarios |
| gptkbp:has_applications_in |
in AI and game theory
|
| gptkbp:has_community |
active user community
active users |
| gptkbp:has_documentation |
available online
|
| gptkbp:has_feature |
customizable settings
tournament mode multi-threading analysis mode graphical output |
| gptkbp:has_features |
customizable settings
|
| gptkbp:has_impact_on |
Go strategy development
|
| gptkbp:has_method |
gptkb:Monte_Carlo_Tree_Search
|
| gptkbp:has_performance |
high level of play
|
| gptkbp:has_user_interface |
command line
command line interface |
| gptkbp:has_version |
1.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
Kata Go
|
| gptkbp:interacts_with |
Go servers
|
| gptkbp:is_available_for |
gptkb:Linux
gptkb:mac_OS gptkb:Windows |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_based_on |
gptkb:Alpha_Go
|
| gptkbp:is_compatible_with |
Go board games
Go board interfaces |
| gptkbp:is_considered_as |
state-of-the-art Go AI
|
| gptkbp:is_designed_for |
high performance
|
| gptkbp:is_documented_in |
Git Hub repository.
|
| gptkbp:is_evaluated_by |
benchmark tests
positions positions quickly Go professionals |
| gptkbp:is_influenced_by |
machine learning techniques
|
| gptkbp:is_influential_in |
AI development
|
| gptkbp:is_integrated_with |
Go applications
other software tools |
| gptkbp:is_known_for |
high accuracy
|
| gptkbp:is_open_source |
gptkb:true
|
| gptkbp:is_part_of |
gptkb:AI_technology
AI development projects AI research in games Go AI community Go software ecosystem |
| gptkbp:is_played_by |
various board sizes
|
| gptkbp:is_promoted_by |
Go organizations
Go influencers |
| gptkbp:is_recognized_by |
gptkb:Go_community
Go organizations |
| gptkbp:is_supported_by |
community contributions
various platforms |
| gptkbp:is_tested_for |
various datasets
other AI systems various Go tournaments other Go engines |
| gptkbp:is_trained_in |
large datasets of Go games
|
| gptkbp:is_used_by |
Go enthusiasts
Go players worldwide |
| gptkbp:is_used_for |
AI competitions
training AI models teaching Go |
| gptkbp:is_used_in |
Go tournaments
Go competitions |
| gptkbp:language |
gptkb:C++
|
| gptkbp:notable_contributor |
many developers
|
| gptkbp:participated_in |
online matches
|
| gptkbp:played_against |
human players
other AI programs other AI |
| gptkbp:programming_language |
gptkb:C++
|
| gptkbp:provides |
game analysis
analysis of Go games evaluation of board positions |
| gptkbp:purpose |
playing the game of Go
|
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:released_on |
October 2018
|
| gptkbp:runs_through |
gptkb:cloud_services
personal computers |
| gptkbp:supports |
multiple languages
self-play multiple board sizes |
| gptkbp:training |
reinforcement learning
|
| gptkbp:updates |
regularly maintained
|
| gptkbp:user_base |
global
growing community of users |
| gptkbp:uses |
gptkb:neural_networks
|
| gptkbp:written_in |
C++ and Python
|
| gptkbp:bfsParent |
gptkb:Go
|
| gptkbp:bfsLayer |
4
|