AI for Interactive Environments Information

Last updated: Spring 2008

This page contains information about the AI for Interactive Environments course that I am teaching.

Course Information

Syllabus

Tentative Schedule and Lecture Notes
Week 10
 Monday/Wednesday: Tactical and Strategic AI

Assignments:

  1. Read chapter 6 in the book.
  2. Turn in Game AI analysis paper assignment
  3. Turn in project 3
  4. Turn in the final exam (up on mycourses) on exam day Saturday at 10:15am in the ET lab and be ready to showcase project3 to other students in the course.
Week 9
 Monday: NPC emotions and Fuzzy Logic

Wednesday: The Future of AI for Interactive Environments

Assignments:

  1. Read chapter 5.4.
  2. Work on Assignment 3
  3. Work on you Game AI analysis paper assignment
Week 8
 Monday: Bayes Networks

Wednesday: Meet in ET Lab

Assignments:

  1. Work on Assignment 3
  2. Work on you Game AI analysis paper assignment
Week 7
 Monday: Bayes Networks

Wednesday: Dempster Schafer

Assignments:

  1. Work on Assignment 2
  2. Work on you Game AI analysis paper assignment
Week 6
 Monday: Conversational NPCs and Natural Language Processing

Wednesday: Lab (meet in ET lab)

Assignments:

  1. Start work on you Game AI analysis paper assignment
  2. Do Lab #3
  3. Work on Assignment 2
  4. Read the mycourses document about the AI of F.E.A.R.
Week 5
 Monday: Pathfinding

Wednesday: Midterm

Assignments:

  1. Test on Wednesday
  2. Start Assignment 2
  3. Read Chapter 4 in the book.
Week 4
 Monday: Game AI architectures

Wednesday: Lab

Assignments:

  1. Lab answers due next Monday
  2. Assignment 1 due on Saturday.
  3. Read article on mycourses
  4. Test next Wednesday
Week 3
 Monday: Movement algorithms

Wednesday: Steering behaviors

Assignments:

  1. Graduate students read the Soccer paper for discussion on Wednesday of week 4 in lab. You must also write a 2 page analysis paper.
  2. Assignment 1
  3. Read Chapter 3 in the book.
Week 2
 Monday: Neural Networks

Wednesday: Reinforcement Learning

Assignments:

  1. Graduate students read the Soccer paper for discussion on Wednesday of week 4 in lab. You must also write a 2 page analysis paper.
  2. Assignment 1
  3. Read Chapter 7 in the book.
Week 1
Introduction and Learning 		Monday: Genetic Algorithms

Wednesday: C# Lab Day (in 70-2550, the ET lab)

Assignments:

  1. Read Chapter 7 in the book.

Contact Information

The easiest way to contact me is through email. I read email several times a day and will get your message. My email address is:
jdbics followed by rit.edu.

You may also see me during the office hours that are posted on my main web site or by appointment.

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