Topics in AI Syllabus

Topics in Artificial Intelligence

Spring, 1997

Background:

This course is meant as a continuation of CS-265, Introduction to Artificial Intelligence, and is intended for computer science and cognitive science students with particualr interest in discovering more about this field.

The course will be divided, both in terms of class time and grading, into three major categories: assigned readings, assigned projects, and a term project.

This course will be heavy with student presentations and highly interactive discussions.

Schedule: Date Assignment Person Responsible Wed. Jan 29 William Woods. What's in a Link, in Bobrow and Collins, eds, Representation and Understanding: Studies in Cognitive Science. Pp 35-82. Academic Press, 1975. Ron Brachman. The Basics of Knowledge Representation and Reasoning. AT&T Technical Journal. 67(1), January, 1988. Joe Wed. Feb 5 Ron Brachman, Deborah McGuinness, Peter Patel-Schneider, Lori Resnick, and Alex Borgida. Living with CLASSIC: When and How to Use a KL-ONE-Like Language. In John Sowa, ed., Formal Aspects of Semantic Networks. Morgan Kaufman, 1990. Liza Wed. Feb 12 Alex Borgida. On the Relative Expressiveness of Description Logics and Predicate Logics. To appear, Artificial Intelligence Journal. 1997. David Fri. Feb 14 Alessandro Artale, Enrico Franconi, Nicola Guarino and Luca Pazzi. Part-Whole Relations in Object-Centered Systems: An Overview. Data and Knowledge Engineering Journal. 20 Pp 347-383. Elsevier, 1996. John Mon. Feb 17 Term Project Proposals Everyone Wed. Feb 19 Welty, Chris and Ferrucci, Dave. What's in an Instance? RPI Computer Science Technical Report. 1994. Matt Wed. Feb 26 Brachman, R. "I Lied about the Trees," or Defaults and Definitions in Knowledge Representation. AI Magazine. 5(3). Fall, 1985. Alan Wed. Mar 5 Zadeh, Lotfi. Commonsense and Fuzzy Logic. In Cercone and McCalla, eds., The Knowledge Frontier. Pp. 103-136. Springer-Verlag, 1983. Joe SPRING BREAK Wed. Mar 26 Borgida, Alex and McGuinness, Deborah. Asking Queries about Frames. Proceedings of KR-96, The 1996 Internationational Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufman. November, 1996. Matt Mon. Mar 31 Term Project Mid-Term Reports Everyone Wed. Apr 2 Brooks, Rodney. Artificial Intelligence through Building Robots. MIT AI Lab Memo 899, May 1986. Liza Wed. Apr 9 Ballard, D., Hayhoe, M., and Pelz, J. Memory Representations in Natural Tasks. Journal of Cognitive Neuroscience. 7(1). Pp. 66-80. 1995. David Wed. Apr 16 Huber, M. and Hadley, T. Multiple Roles, Multiple Teams, Dynamic Environments: Autonomous Netrek Agents. Proceedings of the First International Conference on Autonomous Agents. ACM Press. February, 1997. John Wed. Apr 23 Goldberg, David. Some Applications of Genetic Algorithms. Chapter 4 of Genetic Algorithms. Alan Wed. Apr 30 Final Demos Everyone Mon. May 5 Final Demos Everyone

Assigned Readings:

Date	Assignment	Person Responsible
Wed. Jan 29	William Woods. What's in a Link, in Bobrow and Collins, eds, Representation and Understanding: Studies in Cognitive Science. Pp 35-82. Academic Press, 1975. Ron Brachman. The Basics of Knowledge Representation and Reasoning. AT&T Technical Journal. 67(1), January, 1988.	Joe
Wed. Feb 5	Ron Brachman, Deborah McGuinness, Peter Patel-Schneider, Lori Resnick, and Alex Borgida. Living with CLASSIC: When and How to Use a KL-ONE-Like Language. In John Sowa, ed., Formal Aspects of Semantic Networks. Morgan Kaufman, 1990.	Liza
Wed. Feb 12	Alex Borgida. On the Relative Expressiveness of Description Logics and Predicate Logics. To appear, Artificial Intelligence Journal. 1997.	David
Fri. Feb 14	Alessandro Artale, Enrico Franconi, Nicola Guarino and Luca Pazzi. Part-Whole Relations in Object-Centered Systems: An Overview. Data and Knowledge Engineering Journal. 20 Pp 347-383. Elsevier, 1996.	John
Mon. Feb 17	Term Project Proposals	Everyone
Wed. Feb 19	Welty, Chris and Ferrucci, Dave. What's in an Instance? RPI Computer Science Technical Report. 1994.	Matt
Wed. Feb 26	Brachman, R. "I Lied about the Trees," or Defaults and Definitions in Knowledge Representation. AI Magazine. 5(3). Fall, 1985.	Alan
Wed. Mar 5	Zadeh, Lotfi. Commonsense and Fuzzy Logic. In Cercone and McCalla, eds., The Knowledge Frontier. Pp. 103-136. Springer-Verlag, 1983.	Joe
SPRING BREAK
Wed. Mar 26	Borgida, Alex and McGuinness, Deborah. Asking Queries about Frames. Proceedings of KR-96, The 1996 Internationational Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufman. November, 1996.	Matt
Mon. Mar 31	Term Project Mid-Term Reports	Everyone
Wed. Apr 2	Brooks, Rodney. Artificial Intelligence through Building Robots. MIT AI Lab Memo 899, May 1986.	Liza
Wed. Apr 9	Ballard, D., Hayhoe, M., and Pelz, J. Memory Representations in Natural Tasks. Journal of Cognitive Neuroscience. 7(1). Pp. 66-80. 1995.	David
Wed. Apr 16	Huber, M. and Hadley, T. Multiple Roles, Multiple Teams, Dynamic Environments: Autonomous Netrek Agents. Proceedings of the First International Conference on Autonomous Agents. ACM Press. February, 1997.	John
Wed. Apr 23	Goldberg, David. Some Applications of Genetic Algorithms. Chapter 4 of Genetic Algorithms.	Alan
Wed. Apr 30	Final Demos	Everyone
Mon. May 5	Final Demos	Everyone

Each week there will be an assigned reading (the schedule will be available through this web page), usually an article or chapter of a book. All students will be expected to do the reading, and each wednesday one student will be responsible for making a presentation on the reading and then leading a discussion. I will be available each Tuesday to assist the designee in understanding the reading and organizing the presentation.

Assigned Projects:

There will be three assigned programming projects. The projects will be designed in class, with some stage of the development also done in class (depending on time constraints), and finished individually. Although collaboration is encouraged, what you hand in must be your own work

Term Project:

Each student will choose a term project in AI of a fairly large scale. This is intended to be a semester-long effort that will begin immediately. Each student will make three presentations relating to their term project: a proposal, a mid-term progress report, and a final report and demonstration.

Grading:

33%: Assigned Readings
     10%: Participation
     23%: Presentations

33%: Assigned Projects
     10%: Participation in Class Design
     23%: Implementation

34%: Term Project
     12%: Presentations (3x4%)
     22%: Implementation