Lecture-02-Intelligent_Agents

Lecture-02-Intelligent_Agents - CS 561: Artificial...

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CS 561: Artificial Intelligence Instructor: Sofus A. Macskassy, macskass@usc.edu TA: Harris Chiu ( chichiu@usc.edu ), TBA Penny Pan ( beipan@usc.edu ), SAL 112, Fri, 10am-noon Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment Class page: http://www-rcf.usc.edu/~macskass/CS561-Fall2010/ This class will use https://blackboard.usc.edu/webapps/login/ and class webpage - Up to date information - Lecture notes - Relevant dates, links, etc. Course material: [AIMA] Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig. (3rd ed)
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CS 561: Artificial Intelligence Course overview: foundations of symbolic intelligent systems. Agents, search, problem solving, logic, representation, reasoning, symbolic programming, and robotics. Prerequisites: programming principles, discrete mathematics for computing, software design and software engineering concepts. Good knowledge of C++ or Java required for programming assignments. Grading: 10% for regular quizzes (7 quizzes, lowest 2 will be dropped) 20% for homeworks (4 homeworks, 5% each) 20% for programming projects (2 projects, 10% each) 20% for midterm 30% for final (cumulative) 1 day late = 25% reduction in score 2 days late = 50% reduction in score NOTE: You have 1 week from getting a homework/project/midterm to get it reviewed if you feel it was wrongly graded 2 CS 561 - Lecture 2 - Macskassy - Fall 2010
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Practical issues Class mailing list: will be setup on the blackboard system Homeworks: See class web page on blackboard Sep 1 HW1 out Sep 15 HW1 due, HW2 out Sep 29 HW2 due Oct 25 HW3 out Nov 3 HW3 due, HW4 out Nov 17 HW4 due Projects: See class web page on blackboard Sep 8 - Project 1 out Oct 11 - Project 1 due Oct 25 - Project 2 out Nov 24 - Project 2 due Exams: Oct 18 midterm (in class) Dec 8 final (room TBA) 3 CS 561 - Lecture 2 - Macskassy - Fall 2010
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Practical issues Grading will be based on absolute scores A 90.0% A- 87.5% B+ 85.0% B 80.0% B- 77.5% C+ 75.0% C 70.0% If you need a particular grade, then come see me to understand what this means Do not expect bonus questions on homeworks, midterms or finals There are no video lectures of this section Exams will be open book and open notes 4 CS 561 - Lecture 2 - Macskassy - Fall 2010
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AI at USC 5 CS 561 - Lecture 2 - Macskassy - Fall 2010 http://www3.isi.edu/staff_directory/staff_directory_print.htm
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CS 561 - Lecture 2 - Macskassy - Fall 2010 6 http://ict.usc.edu/people AI at USC
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CS 561 - Lecture 2 - Macskassy - Fall 2010 7 AI at USC other labs Milind Tambe http://teamcore.usc.edu/tambe/ Agent-based and multi-agent systems Sven Koenig IDM lab - http://idm-lab.org/index.html Intelligent Decision Making Laurent Itti http://ilab.usc.edu/ Computational Neuroscience Stefan Schaal http://www-clmc.usc.edu/~sschaal/ Computational Learning and Motor Control
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Lecture-02-Intelligent_Agents - CS 561: Artificial...

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