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Apr 24, 2024
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CS 283 - Artificial Intelligence for Game Developers
5.0 Credits
Data structures and algorithms used in computer game AI. Includes a discussion of the two most general aspects of game AI including pathfinding and decision making. Pathfinding topics include grid traversal and search algorithms, pathfinding with A*, and waypoint networks. Decision making topics include finite state machines, scripting, and squad level AI (was CMPSC 283). Prerequisite: CS 132 (was CMPSC 143) or CS 135 (was CMPSC 145) or departmental permission. CS 161 (was CMPSC 161) and CS 271 (was CMPSC 271) highly recommended.
Course Objectives
Upon successful completion of the course, students will be able to:
- Design and implement a program that utilizes Dijkstra’s path finding algorithm to navigate arbitrary maps. [REASON]
- Design and implement a program that utilizes the A* path finding algorithms. [REASON]
- Discuss the history and evolution of path finding. [COMMUNICATE]
- Describe basic path finding methodology. [COMMUNICATE]
- Compare and contrast Dijkstra’s and the A* path finding algorithms. [COMMUNICATE]
- Clearly communicate problem and solution descriptions to peers, and work with peers to jointly solve programming problems. [COMMUNICATE]
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