CS 5354 Topic in Intelligent Computing
Computational Aspects of Conflict Resolution and Game Theory
Summer 2007 (8 weeks)

Class times: MTWRF 3:45-4:50 pm, COMP 321

Instructors:
Vladik Kreinovich, office COMP 215, email vladik@utep.edu, phone 747-6951
Francois Modave, office COMP 222A, email fmodave@utep.edu, phone 747-5564

Faculty office hours: Vladik Kreinovich MTWR 1:15-2:25 pm, or by appointment

Prerequisite: we will use some probabilities and a little bit of matrices.

Motivations: In 1944, when the Second World War was still going on, John von Neumann (of von Neumann computer architecture fame) wrote a book (co-authored with an economist) describing a new science of "game theory", a science of how to resolve conflicts by logic and reason. At times, this noble dream seems as impossible as it may have sounded back in 1944, but at least now we now that there is a rational way to resolve conflicts.

This course will overview the main concepts of game theory and decision making, with a strong emphasis on computational aspects.

Contents. Along the way, we will learn:

and many many other topics.

We will also learn about applications to biology (especially to bioinformatics) and to computer security.

These are topics on which we are currently working, we will mention our open problems and hopefully, the best student projects will eventually turn into publishable research papers.

Textbook: Peter Morris, Introduction to Game Theory, Springer-Verlag, 1994.

Handouts: The textbook will be heavily supplemented by handouts, including the following papers:

  Hung T. Nguyen, Olga Kosheleva, and Vladik Kreinovich,
  "Decision Making Beyond Arrow's `Impossibility Theorem', With the
  Analysis of Effects of Collusion and Mutual Attraction",
  Proceedings of the Sixth International Conference on Intelligent
  Technologies InTech'05, Phuket Island, Thailand, December 14-16,
  2005, pp. 43-52.
  file in pdf

  Hung T. Nguyen and Vladik Kreinovich,
  "How to Divide a Territory? A New Simple Differential Formalism for
  Optimization of Set Functions", International
  Journal of Intelligent Systems, 1999, Vol. 14, No. 3, pp. 223-251.
  file in pdf

  Martine Ceberio, Gang Xiang, Luc Longpre, Vladik Kreinovich,
  Hung T. Nguyen, Daniel Berleant, "Two Etudes on Combining
  Probabilistic and Interval Uncertainty: Processing Correlations and
  Measuring Loss of Privacy", Proceedings of the 7th International
  Conference on Intelligent Technologies InTech'06, Taipei, Taiwan,
  December 13-15, 2006, pp. 8-17.
  file in pdf

Tests and grades: There will be two tests and one final exam. Each topic means home assignments. Maximum number of points:

(smart projects with ideas that can turn into a serious scientific publication get up to 40 points).

A good project can help but it cannot completely cover possible deficiencies of knowledge as shown on the test and on the homeworks. In general, up to 80 points come from tests and home assignments. So:

Standards of Conduct: Students are expected to conduct themselves in a professional and courteous manner, as prescribed by the Standards of Conduct. Students may discuss programming exercises in a general way with other students, but the solutions must be done independently. Similarly, groups may discuss project assignments with other groups, but the solutions must be done by the group itself. Graded work should be unmistakably your own. You may not transcribe or copy a solution taken from another person, book, or other source, e.g., a web page). Professors are required to - and will - report academic dishonesty and any other violation of the Standards of Conduct to the Dean of Students.

Disabilities: If you feel you may have a disability that requires accommodation, contact the Disabled Student Services Office at 747-5148, go to Room 106 E. Union, or e-mail to dss@utep.edu.

SEE YOU IN THE CLASS!