{"id":16517028,"url":"https://github.com/wazzabeee/chess_ai","last_synced_at":"2025-09-07T22:37:45.798Z","repository":{"id":64845941,"uuid":"557300843","full_name":"Wazzabeee/chess_AI","owner":"Wazzabeee","description":"Java chess AI using Principal Variation Splitting, Piece Square Tables, Opening Book and Tapered Evaluation.","archived":false,"fork":false,"pushed_at":"2022-12-15T23:00:22.000Z","size":10943,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-02T19:32:18.544Z","etag":null,"topics":["chess","chess-ai","minimax-alpha-beta-pruning","opening-book","piece-square-tables","principal-variation-splitting","pvs","quiescence-search","tapered-evaluation","transposition-table"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Wazzabeee.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-10-25T12:47:25.000Z","updated_at":"2023-11-10T15:22:54.000Z","dependencies_parsed_at":"2022-12-16T06:46:41.461Z","dependency_job_id":null,"html_url":"https://github.com/Wazzabeee/chess_AI","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Wazzabeee/chess_AI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Wazzabeee%2Fchess_AI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Wazzabeee%2Fchess_AI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Wazzabeee%2Fchess_AI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Wazzabeee%2Fchess_AI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Wazzabeee","download_url":"https://codeload.github.com/Wazzabeee/chess_AI/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Wazzabeee%2Fchess_AI/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274107697,"owners_count":25223451,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["chess","chess-ai","minimax-alpha-beta-pruning","opening-book","piece-square-tables","principal-variation-splitting","pvs","quiescence-search","tapered-evaluation","transposition-table"],"created_at":"2024-10-11T16:28:22.194Z","updated_at":"2025-09-07T22:37:45.772Z","avatar_url":"https://github.com/Wazzabeee.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp float=\"left\"\u003e\n  \u003cimg src=\"https://github.com/Wazzabeee/chess_AI/blob/main/images/wall_e.PNG\" /\u003e\n\u003c/p\u003e\n\n# Chess Engine : PVS\n## About\n\nThis chess AI was developed by [Justin Aubin](https://github.com/Justin-Aubin) and myself for an end-of-term project part of 8INF878 : AI course at UQAC. You can find the written report about this project (in French) in the repo.\n\nIt uses the [UCI](http://wbec-ridderkerk.nl/html/UCIProtocol.html) protocol. We implemented : \n- principal variation splitting (distributed algorithm)\n- depth limited minimax with fail-soft alpha-beta pruning\n- material evaluation\n- tapered evaluation\n- piece square tables\n- transposition table\n- quiescense search\n- move ordering \n- opening book (20 000 games)\n\nIt can deliver a move in less than a second at depth 5 on most computers. If your computer has lot of cores, you may want to try at depth 7 and modify the 1 second time limit in Timer.java.\n\nThanks to it we won the small tournament organized between the AI of the students of the class.\n\nThis has been possible thanks to [Chesslib](https://github.com/bhlangonijr/chesslib) for the chess rules and [Carballo](https://github.com/albertoruibal/carballo) for the reading of Polyglot files.\n\n## How to use\nThe repo is a Maven project. Use the IDE of your choice to play with it. \nYou can play against the AI using the console and [UCI](http://wbec-ridderkerk.nl/html/UCIProtocol.html) commands or build a .JAR file and use it on a Graphical User Interface supporting UCI protocol : [Arena](http://www.playwitharena.de/).\n\n## Stats on Chess.com\n\n\u003cp float=\"left\"\u003e\n  \u003cimg src=\"https://github.com/Wazzabeee/chess_AI/blob/main/images/details.PNG\" /\u003e\n\u003c/p\u003e\n\nGames history can be found [here](https://www.chess.com/member/8inf878).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwazzabeee%2Fchess_ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwazzabeee%2Fchess_ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwazzabeee%2Fchess_ai/lists"}