AI For Games
This course provides a technical introduction to the core concepts of artifical intelligence (AI). Students will be introduced to the history of AI, agents (agent architecture and multi-agent behavior), search (search space, uninformed and informed search, constraint satisfaction, game playing), knowledge representation (logical encoding of domain knowledge, logical reeasoning systems), planning (search over plan space, partial-order planning, practical planning), uncertainty and probability, learning (inductive learning, linear separators, decision trees, boosting, reinforcement learning), and perception and cognition (natural language, machine vision, robotics).
Prerequisite: Complete EGP-200, EGP-310.
Not Offered This Semester