Introduces fundamental concepts of design of intelligent systems. Topics include biological versus computational systems, knowledge representation, computational reasoning, computational learning, language and human-machine communication, expert systems, computational vision, and examples of intelligent machines.
Graduate standing or consent of instructor. You must be able to program in MATLAB and/or C.
§ introduction to intelligent system, concept of intelligent agent
§ mathematical framework of intelligent system architectures
§ knowledge representation
§ sensory processing
§ behavior generation
§ planning methods
§ computational learning
§ human-machine communication
§ expert systems
§ application area: intelligent robotics
§ application area: intelligent transportation systems
Optional Topics
§ computational vision
§ attentive processing
§ real-time architectures