Game Artificial Intelligence

CS 4150/5150 - Fall 2014

Course Information

All course policies are detailed in the Syllabus.

Professor: Gillian Smith
Email: gillian@ccs.neu.edu
Office: 146 Meserve Hall
Office Hours: Mondays, 12:00pm - 2:00pm, or by appointment

TA: Vishwanath Pai
Email: pai.vi@husky.neu.edu
Office Hours: Thursdays, 3:00pm - 5:00pm
Location: 1st Floor Computer Lab, WVH

Course Description

Offers an overview of classical and modern approaches to artificial intelligence in digital games. Focuses on the creation of believable agents and environments with the goal of providing a fun and engaging experience to a player. Covers player modeling, procedural content generation, behavior trees, interactive narrative, decision-making systems, cognitive modeling, and path planning. Explores different approaches for behavior generation, including learning and rule-based systems. Requires students to complete several individual assignments in these areas to apply the concepts covered in class. Students choose a group final project to explore one aspect of artificial intelligence for games in further depth. Offers students an opportunity to learn team management and communication.