George Mason University
Volgenau School of Engineering
Department of Computer Science
CS 580 Introduction to Artificial Intelligence
Meeting time: Thursday 4:30 pm – 7:10 pm
Meeting location: Nguyen Engineering Building 4457
Instructor: Dr. Gheorghe Tecuci, Professor of Computer Science and Director of the Learning Agents Center
Instructor office hours: Monday and Thursday 7:15 pm – 8:15 pm
Office: Nguyen Engineering Building 4613
Phone: 703 993 1722
E-mail: tecuci at gmu dot edu
Teaching assistant: Tanwistha Saha, PhD Student, tsaha at masonlive dot gmu dot edu
Teaching assistant office hours: Tuesday, 3pm – 4pm
Artificial Intelligence is the Science and Engineering domain which is concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior such as reasoning, planning and problem solving, learning and adaptation, natural language processing, and perception.
This course presents the basic principles, concepts, and major methods of Artificial Intelligence, preparing the students to build complex systems incorporating capabilities for intelligent processing of information.
Covered topics include: heuristic search and game playing, knowledge representation, logic and probabilistic reasoning, learning and knowledge acquisition, semantic web, knowledge engineering, expert systems and intelligent agents, Common LISP and Prolog. The students will also learn about the Disciple agent development environment created in the Learning Agents Center of George Mason University.
Students will have accounts on Blackboard and can download the lecture notes by going to courses.gmu.edu and logging in using their Mason ID and passwords.
This course will also be delivered to the Internet section online using the Moodle learning management system with MIST/C, which has replaced the Network EducationWare (NEW) delivery system. Only students in the online section will be able to connect to class sessions and to download recordings of the lectures. All distance learning students are expected to actively participate in the classroom discussions, and will be required to deliver all the assignment by email (see below). The Moodle URL for CS department courses is at https://disted.c4i.gmu.edu/moodle. The procedure for installation is:
1. Connect to: https://disted.c4i.gmu.edu/moodle
2. Select your course and login with your GMU username/password
3. Enter the enrollment key for your course
4. Install MIST/C client
There will be several homework assignments, a mid-term exam and a final exam.
The course grade will be determined as follows:
Mid-term exam 33.3%
Final exam 33.3%
Mid-term exam: 03/22/2012
Final exam: 05/10/2012
Each assignment should be received
by the day indicated as the deadline of the assignment. Any delay may be
penalized with 15%/day.
Objective cases of delay will be considered individually, and are not subject to the above policy. An example of such a case is a longer business trip that privents one to return the assignment in time. In such cases permission from the instructor should be requested before the deadline.
Honor Code Policy
GMU is an Honor Code university. You are expected to abide by the University's honor code. Any collaboration between students on assignments or exams is unacceptable. If it is determined that two assignments or exams have not been done independently, then the grade will be split between their authors. For example, in case of a 30p assignment each will receive 15p. We reserve the right to use MOSS to detect plagiarism in the programming assignments.
Tecuci G., Lecture Notes in Artificial Intelligence, Spring 2012 (available online).
Russell S., and P. Norvig P., Artificial Intelligence: A Modern Approach, Prentice Hall, Third edition (ISBN-13: 978-0-13-604259-4, 2010) Second edition (ISBN: 0-13-790395-2, 2003).
Graham P., ANSI Common Lisp, Prentice Hall, ISBN: 0133708756, available on line.
Tecuci G., Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies, Academic Press, 1998.
J. and Riley G., Expert Systems: Principles
and Programming, Third Edition, PWS Publishing Company,
Wilensky R., Common LISPcraft, Norton & Company, 1989.
Winston P.H., Artificial Intelligence, Addison-Wesley.
Winston P.H., Horn B.K.P., LISP, Addison-Wesley.
Jones T.M., Artificial Intelligence: A Systems Approach, Jones and Bartlett Publishers, 2009.
Luger G., Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison Wesley, 2009.
Rich E., Knight K., Artificial Intelligence, McGraw-Hill.
Bratko I., PROLOG Programming for Artificial Intelligence, Addison Wesley.
Coppin B., Artificial Intelligence Illuminated, Jones and Bartlett publishers, 2004.
Dean T., Allen J., Aloimonos Y., Artificial Intelligence: Theory and Practice, The Benjamin/Cummings Pub. Comp.
Ginsberg M., Essentials of Artificial Intelligence, Morgan Kaufmann.
Negnevitsky M., Artificial Intelligence: A Guide to Intelligent Systems, Addison Wesley, 2002.
Steele G.L., Common Lisp the Language, 2nd Edition.
G. Tecuci, Lecture Notes in Artificial Intelligence, 2012
Overview of Artificial Intelligence and Intelligent Agents
Solving Problems by Searching (state-space and problem reduction representations; uninformed search; informed search; constraint satisfaction problems; adversarial search)
Knowledge Representation and Reasoning (logic; natural deduction; resolution; production systems; probabilistic reasoning; semantic web and ontologies; planning)
Machine Learning and Knowledge Acquisition (learning strategies: version spaces, decision trees, Bayesian, explanation-based, analogical, multistrategy)
Knowledge-based Agents (architecture, hybrid knowledge representation, knowledge-based reasoning, learning, development methodology)
Common Lisp, Prolog, and Disciple
1. Please include CS580 in the subject of any message you are emailing to Dr. Tecuci.
2. Please try to limit the size of the files you are emailing.
3. If you are in the distance education section, you may email the assignments to Dr. Tecuci by the indicated deadline (making sure that the files are not too large).
GMU Email Accounts
Students must activate their GMU email accounts to receive important University information, including messages related to this class.
Office of Disability Services
If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at 993-2474. All academic accommodations must be arranged through the ODS. http://ods.gmu.edu.
Other Useful Campus Resources
Writing Center: A114 Robinson Hall; (703) 993-1200; http://writingcenter.gmu.edu
University Libraries “Ask a Librarian” http://library.gmu.edu/mudge/IM/IMRef.html
Counseling And Psychological Services (CAPS): (703) 993-2380; http://caps.gmu.edu
The University Catalog, http://catalog.gmu.edu, is the central resource for university policies affecting student, faculty, and staff conduct in university affairs.