Class1 - CS 2710 Foundations of AI Lecture 1 Course...

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CS 2710 Foundations of AI M. Hauskrecht CS 2710 Foundations of AI Lecture 1 Milos Hauskrecht milos@ cs.pitt.edu 5329 Sennott Square Course overview CS 2710 Foundations of AI M. Hauskrecht Course administrivia Instructor: Milos Hauskrecht 5329 Sennott Square milos@cs.pitt.edu TA: Tomas Singliar 5406 Sennott Square tomas@cs.pitt.edu Course web page: http://www.cs.pitt.edu/~milos/courses/cs2710/
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CS 2710 Foundations of AI M. Hauskrecht Textbook Course textbook: Other widely used AI textbooks: Dean, Allen, Aloimonos: Artificial Intelligence. P. Winston: Artificial Intelligence, 3 rd ed. N. Nillson: Principles of AI. Stuart Russell, Peter Norvig. Artificial Intelligence: A modern approach . 2 nd edition, Prentice Hall, 2002 CS 2710 Foundations of AI M. Hauskrecht Grading Lectures 10% Homework assignments 45% Midterm 20% Final 25%
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CS 2710 Foundations of AI M. Hauskrecht Lectures 10 % of the grade Attendance + short quizzes Short quizzes: – 10 minutes at the beginning of the lecture – Random – Short question(s) from previous lectures CS 2710 Foundations of AI M. Hauskrecht Homework assignements Homework assignments: – 45 % of the grade – Weekly assignments – A mix of pencil and paper, and programming assignments – No extensions. Homework due dates are strict. Collaborations: – No collaborations on homework assignments Programming language: –C /C++
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CS 2710 Foundations of AI M. Hauskrecht Exams Midterm – 20 % of the grade – In-class Final – 25 % of the grade – Covers whole semester AI prelim exam: – AI prelim = CS 2710 final (last year) CS 2710 Foundations of AI M. Hauskrecht Academic honesty • All the work in this course should be done independently. Collaborations on homework assignments, quizzes and exams are not permitted. • Cheating and any other anti-intellectual behavior, including giving your work to someone else, will be dealt with severely. Academic Integrity Code for the Faculty and College of Arts and Sciences: http://www.fcas.pitt.edu/academicintegrity.html
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CS 2710 Foundations of AI M. Hauskrecht Artificial Intelligence • The field of Artificial intelligence : – The design and study of computer systems that behave intelligently AI programs: – Go beyond numerical computations and manipulations – Focus on reasoning tasks that require intelligence Aspects of AI research: – Engineering • solving of hard problems – Cognitive • Understanding the nature of human intelligence CS 2710 Foundations of AI M. Hauskrecht Intelligence and machines Symbolic system hypothesis (Newell and Simon) – Intelligence is substrate neutral; – A physical symbol system has necessary and sufficient means for general intelligent action. Biological substrate only
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This note was uploaded on 10/22/2011 for the course CS CS 2710 taught by Professor Wiebe during the Fall '11 term at Pittsburgh.

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Class1 - CS 2710 Foundations of AI Lecture 1 Course...

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