GPR 340 - Artificial Intelligence 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). Prerequisites: GPR-200 and GPR-250 Credits: 3 ITS
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