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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/9509
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dc.contributor.authorChu, Hau Chunen_US
dc.date.accessioned2021-12-10T08:50:05Z-
dc.date.available2021-12-10T08:50:05Z-
dc.date.issued2021en_US
dc.identifier.other2021cschc237en_US
dc.identifier.urihttp://dspace.cityu.edu.hk/handle/2031/9509-
dc.description.abstractBridg-It is a mathematical game that is educational to everyone. It is easy to learn for beginners and a challenging game for experts. There is a Bridg-It mobile game developed by the Algebra Game Project team, which enables an AI player to play against the human player. However, the game is still room for improvement. This project aims to improve the current application by correct bugs and make AI stronger. Debugging is performed when the bug is found. This project tries to enable AI against AI in the Unity engine to validate the AI’s algorithm. This project is focused on ensuring the algorithm is designed and operated correctly. Moreover, this project focuses on further developing new game levels with unique features that are different from the current application. An easy level is designed for beginners is using Oliver Gross’s pairing strategy to guide players to win. A difficult level is designed to introduce a new feature, which is locked edges. It adds restrictions on the available edges for each player. An impossible level is designed for players who have won all levels. The AI’s algorithm in this level has changed to use Oliver Gross’s pairing strategy, and the AI player will always win. Increased game levels would attract more players to play the game and give a new user experience to current players.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleArtificial Intelligence in Mathematical Games - Bridg-It Gameen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.description.supervisorSupervisor: Dr. Tan, Chee Wei; First Reader: Dr. Hou, Junhui; Second Reader: Dr. Yu, Yuen Taken_US
Appears in Collections:Computer Science - Undergraduate Final Year Projects 

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