Digitising a Turn-Based Strategy Board Game: Implementation of Spellcaster Using the Mini-Max Algorithm
Year: 2024
Type: article
Abstract: Spellcaster is a turn-based strategy board game for two players, involves players casting spells by making sequences of gestures, aiming to defeat their opponent through different kinds of spells within a turn-based system. The research succeeded in the implementation of Spellcaster as a 2-player game system, with an AI opponent who can make reasonable decisions. The digitised game is developed using the LibGDX game engine because of its cross-platform features and high editability; and implemented in the Java language, using java's object-oriented features to improve programming efficiency. The game's AI opponent is implemented using the Mini-Max ideas, with an evaluation function that focuses on the gesture selection of the current turn.
Author: Yukai Wang
Institutions: Heriot-Watt University, Ocean University of China
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405389045