Introduction to Artificial Intelligence

Fall, 2000

Instructor

Chris Welty

Contents

  • Announcements/Messages
  • Textbooks
  • Background
  • Course Schedule and Projects
  • Grading Policy
  • Messages:

    Schedule:

    Week Topic Chapters Assignment
    9/5 Introduction: AI, LISP AI 1 Homework 1
    9/12 Part I: 
    Intelligent Agents
    Deliberative Systems
    Intelligence as Search
    LISP Loops, State Spaces AI 7,8 Homework 2
    9/19 Heuristics, Playing Games AI 9 Project 1
    9/26 Minimax  AI 12
    10/3 Reactive Systems
    Emergent Intelligence
    Stimulus-Response AI 2 Homework 3
    10/10 S-R Robots SR1
    10/17 Threshold Logic Units AI 3 Project 2
    10/24 Fall Break
    10/31 Part II:
    Knowledge Representation
    Logic-Based Systems
    Deterministic Behavior
    Propositional Logic AI 13,14
    11/7 Predicate Logic AI 15,16
    11/14 Frames and Description Logics AI 18; SR2 Project 3
    11/21 Ontological Analysis SR3
    11/28 Soft Computing Systems
    Probabalistic Behavior
    Probablilistic Reasoning AI 19.1-19.2 Homework 5
    12/4 Bayesian Networks AI 19.3-19.8 Project 4
    12/11

    Textbooks:

    Nilsson, Nils.Artificial Intelligence: A New Synthesis. Morgan Kaufman, 1998. [AI]
    Graham, Paul.  ANSI Common LISP.  Prentic-Hall, 1996. [CL]

    Supplemental Readings:

    Grading:

     
    60%:  Programming Projects
    20%:  Homeworks
    10%:  Participation
    10%:  Quizzes
    The homeworks are small problem sets designed to be completed in a very short time in the lab. Collaboration with other students  is expected. The projects will be major programming tasks, and collaboration on the Projects is permitted, however what you turn in must be your own work. Blatant copying will result in a zero grade. The late penalty for Projects is 20% per day, with the weekend counting for one day.
     
    Class participation is not a guaranteed 15%. You must attend classes  and demonstrate you have done the reading by participation in class. In addition, my travel schedule this semester is quite busy. For days that I will be absent, I will assign a student to lead the class or lab. This student will be responsible for doing the reading the week before, and meeting with me to discuss the material and the strategy for presentation. Half the participation grade will be based on these presentations. Following such classes, a quiz will be administered to all students. Overall performance on the quizzes will count toward the evaluation of the student leader.

    Academic accommodations are available for students with documented disabilities. Please schedule an appointment with the instructor early in the semester to discuss any accommodation that may be needed for the course. All accommodations must be approved through the Office of Disability and Support Services (ext. 7584) as indicated in their accommodation letter.