Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27380
Title: Minimax Algorithm for a King and Rook vs King Chess Endgame
Authors: Božinovski, Adrijan
Jankuloski, Filemon
Keywords: Chess, Artificial Intelligence, Statistics, King and Rook vs King endgame
Issue Date: Jul-2023
Publisher: Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia
Series/Report no.: CIIT 2023 papers;4;
Conference: 20th International Conference on Informatics and Information Technologies - CIIT 2023
Abstract: In this paper, we will take a look at an Аrtificial Intelligence based chess program, which portrays a White King and Rook vs Black King endgame scenario. First, we will take a look at the evolution of this chess program, and how it progressed from being purely algorithmic to employing Artificial Intelligence. Next, we will briefly explore how the main program works and scrutinize all of its possible functions. Moreover, the version of the program which obtains all relevant statistics as well as the circumstances surrounding their attainment will also be discussed. Finally, we will conclude the paper by analyzing the results of the exhaustive testing and showcasing a hypothesis derived from the aforementioned results.
URI: http://hdl.handle.net/20.500.12188/27380
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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