Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download BIS 2200 Intelligent Systems
Document related concepts
Human-Computer Interaction Institute wikipedia , lookup
Collaborative information seeking wikipedia , lookup
Human–computer interaction wikipedia , lookup
Wizard of Oz experiment wikipedia , lookup
Computer vision wikipedia , lookup
Ecological interface design wikipedia , lookup
Personal knowledge base wikipedia , lookup
Intelligence explosion wikipedia , lookup
Philosophy of artificial intelligence wikipedia , lookup
Embodied cognitive science wikipedia , lookup
Incomplete Nature wikipedia , lookup
Existential risk from artificial general intelligence wikipedia , lookup
Ethics of artificial intelligence wikipedia , lookup
Transcript
BIS 2200 Intelligent Systems (4 CU) Course Description: By the completion of this course, the student should; Have an appreciation of computational issues in problem solving; Have an understanding of concepts, methods and principles in knowledge based problem solving; Be able to design and implement prototype knowledge systems. Indicative Content: This unit provides an introduction to intelligent system technologies such as knowledge engineering, applied artificial intelligence and expert systems as key players in filling a growing niche in corporate information systems. Topics include: natural language understanding, vision & learning; heuristic programming; search strategies; knowledge representations, acquisition and Applications i.e. Expert Systems’ design techniques, programming aspects, applications, successes, limitations and Neural Networks). Reference Book: i. M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, 2nd edition, Addison- Wesley, 2004. ii. P. Norvig, Artificial Intelligence: A Modern Approach, 2nd edition, Prentice Hall, 2002.
