Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156729
Title: Adaptive pathfinding and utility AI implementation for a tower defense game
Authors: Andre, Terence
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Andre, T. (2022). Adaptive pathfinding and utility AI implementation for a tower defense game. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156729
Abstract: The purpose of this project is to develop a game in the tower defense genre, along with an AI that can challenge the player and provide more replayability value to the game. A* algorithm was chosen as the core technique used to develop an adaptive pathfinding system that makes the AI appear smarter by adapting to the player’s actions. This adaptive pathfinding aims to make the player required to think and optimize their actions during gameplay. Aside from pathfinding, an AI system for enemy spawning was also developed. This enemy spawning AI uses a Utility-based system as the core technology to provide variability between replays and challenge the player by countering the player’s actions. This report covers the game design, game mechanics implementation, and AI system implementation using the Unity game engine.
URI: https://hdl.handle.net/10356/156729
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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