unbeatable_game | : game_die : Unbeatable tic-tac-toe game
kandi X-RAY | unbeatable_game Summary
kandi X-RAY | unbeatable_game Summary
unbeatable_game is a JavaScript library. unbeatable_game has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
all of the game logic is on the front-end (encapsulated in javascript objects with a few standalone functions), which makes the ai response feel really snappy. when the game is over, an ajax request is sent out to report the game’s result. the first thing i did was write the little server side logic i needed, and begin organizing my javascript objects in a way that i thought made sense. after i got to a point where i could play tic-tac-toe against a really, really stupid ai, i dove into making it smarter. figuring out how the ai should pick its next move was actually relatively easy. after researching the problem, it became clear that the [minimax algorithm] was the best route (more resources i used are listed below). in a nutshell, minimax creates all possible game states that could arise from the current one, up to a certain depth (one move ahead? two moves ahead?). then, each possible game state is scored based on a rough heuristic (a win for the ai has the highest score, letting the player win has the lowest score, etc.). from there, picking the
all of the game logic is on the front-end (encapsulated in javascript objects with a few standalone functions), which makes the ai response feel really snappy. when the game is over, an ajax request is sent out to report the game’s result. the first thing i did was write the little server side logic i needed, and begin organizing my javascript objects in a way that i thought made sense. after i got to a point where i could play tic-tac-toe against a really, really stupid ai, i dove into making it smarter. figuring out how the ai should pick its next move was actually relatively easy. after researching the problem, it became clear that the [minimax algorithm] was the best route (more resources i used are listed below). in a nutshell, minimax creates all possible game states that could arise from the current one, up to a certain depth (one move ahead? two moves ahead?). then, each possible game state is scored based on a rough heuristic (a win for the ai has the highest score, letting the player win has the lowest score, etc.). from there, picking the
Support
Quality
Security
License
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Support
unbeatable_game has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
unbeatable_game has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of unbeatable_game is current.
Quality
unbeatable_game has no bugs reported.
Security
unbeatable_game has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
unbeatable_game does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
unbeatable_game releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of unbeatable_game
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of unbeatable_game
unbeatable_game Key Features
No Key Features are available at this moment for unbeatable_game.
unbeatable_game Examples and Code Snippets
No Code Snippets are available at this moment for unbeatable_game.
Community Discussions
No Community Discussions are available at this moment for unbeatable_game.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install unbeatable_game
To run all RSpec tests. Run bundle exec rake db:test:prepare. Run bundle exec rspec . To run all Jasmine tests. Run bundle exec rake jasmine. Go to go to [http://localhost:8888/](http://localhost:8888/) in your browser.
Ruby 2.1.3
Bundler 1.7.x
To run all RSpec tests
Run bundle exec rake db:test:prepare
Run bundle exec rspec .
To run all Jasmine tests
Run jasmine init
Run bundle exec rake jasmine
Go to go to [http://localhost:8888/](http://localhost:8888/) in your browser
Ruby 2.1.3
Bundler 1.7.x
To run all RSpec tests
Run bundle exec rake db:test:prepare
Run bundle exec rspec .
To run all Jasmine tests
Run jasmine init
Run bundle exec rake jasmine
Go to go to [http://localhost:8888/](http://localhost:8888/) in your browser
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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