ADVANCED STUDIES IN ARTIFICIAL INTELLIGENCE AND AUTOMATED REASONING

Graduate

This course introduces general problem-solving methods associated with automated reasoning and simulated intelligence. Topics include problem abstraction, state space heuristic search theory, pathfinding, flocking behaviour, knowledge representation, propositional logic, reasoning with uncertainty, machine learning and connectionism. Graduate students are required to complete an additional project and report. This will be defined in consultation with the instructor to ensure the scope and assessment are sufficiently advanced to warrant graduate level credit. This course is cross-level listed with CS 4110. Credit cannot be received for both MCS 8110 and CS 4110. PREREQUISITE: Admission to a graduate program in Science HOURS OF CREDIT: 3