Game Playing in Artifical Intelligence

Author(s)	Vanita
Country	India
Abstract	Abstract: This paper focuses on the how Game Playing is an important domain of Artificial intelligence .AI is also used in game playing. Various researchers have extensively contributed for computer game –playing methods. Games don’t require much knowledge: the only knowledge we need to provide is the rules, legal moves and the condition of winning or losing Game . Both players try to win the game . so both of them try to make the best possible move at each turn. Shannon’s paper on chess-playing and Samuel’s checkers are considered as land marks in the area of computer game playing. We also explain in this paper major components of game playing program , static evaluation function generator, game playing strategies: i) minimax strategy ii) minimax strategy with alpha – beta cutoffs.
Keywords	Major components of this paper are: game playing program, static evaluation function generator, game playing strategies) minimax strategy ii) minimax strategy with alpha – beta cutoffs.
Field	Computer Applications
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-18
Cite This	Game Playing in Artifical Intelligence - Vanita - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20362
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20362
Short DOI	https://doi.org/gtvtz9

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research