CIS370 - CIS*370 Lecture 01 Artificial Intelligence F Song...

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CIS*370 F. Song Lecture 01 – Artificial Intelligence 9 January 2007 Contact Information • Instructor: - Fei Song (THRN 1388, x58067) - [email protected] - Office: 2-3pm Tuesday and Thursday • Teaching Assistants: - Robert Collier and Wei Wang - [email protected] also submit assignments here - Office: TBA (10:30-1:30pm tentative Monday, Wednesday, Friday) Overview • Fundamental concepts and techniques: - Agents and environments - Search - Knowledge representation and reasoning - Learning • Specific subfields: game search, expert systems, decision tree learning, statistical natural language processing. • We are in a data rich, yet knowledge poor age. • Evaluation: - Assignments (4 x 10%) 40% - Midterm (After break) 20% - Late policy: late submissions are acceptable, but there will be a reduction of 10% for one day late, 25% for two days late and 50% for three days late. After that, no marks will be given. • Textbook: - Stuart Russel and Peter Norvig. “Artificial Intelligence: A Modern Approach”. (Second edition. Prentice-Hall, 2003.) • Good strategy: Just come to class regularly! Best way to learn about this field. Have your question(s) clarified as soon as possible; simple problems grow the longer they are a mystery. Why is AI Exciting? Powerful : not just to understand, but to build intelligent entities. New : work started in mid-1940s and the name was coined in 1956 by John McCarthy. Broad : a wide range of subfields, such as game search, expert systems, larning, information extraction and retrieval, perception and robotics, neural networks, fuzzy logic and genetic computing. • We tend to consider this field a “brain-teasing” field. You are used to different paradigms, and this course will help you switch between them. Winter 2007 Page 1 of 33
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CIS*370 F. Song What is AI? • Four categories of definitions: Human-centered Rationality-centered Thought- centered Systems that think like humans. Systems that think rationally. Behaviour- centered Systems that act like humans. Systems that act rationally. Acting Humanly : The Turing Test Approach • Short version: AI is the enterprise of constructing an intelligent artefact . - Intelligence: things people do well exhibit intelligence, but not all of them (i.e. bodily functions). - Turning Test : a functional definition. • Long version: AI is the enterprise of constructing a physical symbol system that can reliably pass the turning test. Artefact : We are not really changing the world; we are just going through a thinking process to capture the knowledge about an inference about problem solving. We are trying to build intelligent systems. • Passing the Turing test would indicate that the system is intelligent according to the “Systems that act like humans” definition, but only appears to be intelligent according to the “Systems that think like humans” definition. Thinking Humanly
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CIS370 - CIS*370 Lecture 01 Artificial Intelligence F Song...

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