Reasoning Systems

Course Description & Learning Outcomes

Through a mix of lectures reinforced by case examples, participants will acquire comprehensive knowledge of artificial intelligence (AI) techniques, including search, scheduling, optimisation, constraint satisfaction, evolutionary computation, and data mining. Participants will also get hands-on learning to integrate hybrid reasoning systems using computer tools (with some programming) to solve complex and time consuming problems. This course is a part of the Artificial Intelligence and Graduate Certificate in Intelligent Reasoning Systems, which is a part of the Stackable Graduate Certificate Programme in Artificial Intelligent Systems offered by NUS-ISS. Upon completion of the course, participants will be able to: - Identify real world business use cases and applications of advanced intelligent reasoning systems. - Integrate advanced artificial intelligence enablers in reasoning systems, including heuristic search, constraint satisfaction, simulation assisted learning, evolutionary computation, optimisation, planning, system integration, programming, data mining and machine learning algorithms. - Decompose complex business/industry scenarios into sub problems to be solved by assembling cooperative intelligent subsystems. - Architect hybrid reasoning system by evaluating suitable artificial intelligence techniques and system integration techniques to solve complex problem under business constraints.