CSCI 400
Special Topics in Computer Science:
Artificial Intelligence
David Keil (dkeil@framingham.edu)
Fall 2011, Framingham State University

Syllabus (pdf)

Assignments (pdf)

Study questions (pdf)

Notes and supporting materials by topic:

Introduction
CS background

1. Computation and cognition

2. State-space search

3. Knowledge representation and rule-based inference

4. Uncertainty and probabilistic reasoning

5. Supervised learning and natural-language processing

6. Reinforcement learning and adaptation
Pole balancing and maze problems
RL action-state
Partially observable Markov decision processes
No Free Lunch Theorem

7. Distributed artificial intelligence
Indirect interaction in evolving adaptive MASs
Decentralization and stigmergy

8. Future prospects and philosophical considerations
Notes for a debate on AI, 2005

Supplementary notes

This page last edited 7/28/11