Artificial Intelligence in Games

Module code: ECS7002P

Credits: 15.0
Semester: SEM1

Contact: Dr Diego Perez-Liebana

This module covers a range of Artificial Intelligence techniques employed in games, and teaches how games are and can be used for research in Artificial Intelligence. This module has a strong programming component. The module explores algorithms for creating agents that play classical board games (such as chess or checkers) and real-time games (Mario or PacMan), including single agents able to play multiple games. The module gives an overview of multiple techniques, such as Monte Carlo Tree Search, Evolutionary Computation, Deep and Machine Learning applied to games.

Connected course(s): UDF DATA
Assessment: 80.0% Coursework, 20.0% Examination
Level: 7