CS 335 – Artificial Intelligence

Lectures (Spring 2004)

 

08/31

Introduction

Intelligent Machines. History of AI.

09/02

Introduction

History of AI: (Cont)

09/07

Rule-Based Expert Systems

Introduction.

09/09

Rule-Based Expert Systems

Structure of ESs. Main Characteristics of rule-based ESs.

09/14

Rule-Based Expert Systems

Forward Chaining inference.

09/16

No Class

 

09/21

Rule-Based Expert Systems

Backward chaining inference techniques Conflict Resolution

09/23

Uncertainty Management in R-B ESs

Basic probability theory. Bayesian reasoning.

09/28

Uncertainty Management in R-B ESs

Application of certainty factors.

09/30

Fuzzy Expert Systems

Introduction. Fuzzy sets.

10/05

Fuzzy Expert Systems

Operations on Fuzzy sets.

10/07

Fuzzy Expert Systems

Fuzzy Rules and inference.

10/12

Frame-Based Expert Systems

Introduction. Frames and inheritance.

10/14

Frame-Based Expert Systems

Methods and demons.

10/19

Midterm Review (GP 1 Due)

 

10/21

Midterm

Rule-Based Expert Systems, Uncertainty Management, Fuzzy Expert Systems.

10/26

Group project presentations

 

10/28

Frame-Based Expert Systems

Interaction of frames and rules.

11/02

Artificial Neural Networks

Introduction.

11/04

Artificial Neural Networks

Multilayer neural networks.

11/09

Artificial Neural Networks

The Hopfield network.

11/11

Artificial Neural Networks

Self-organizing neural networks.

11/16

Evolutionary Computation

Introduction

11/18

Evolutionary Computation

Genetic algorithms

11/23

Evolutionary Computation

Evolutionary strategies

11/25

No Class – Thanksgiving

 

11/30

Evolutionary Computation

Genetic programming

12/02

Special Topics

Hybrid intelligent systems.  Knowledge engineering.  Data mining.

12/07

Special Topics (GP 2 Due)

Multi-agent systems.

12/09

Group project presentations

 

12/16

Final Exam 10:00-11:50 AM

Comprehensive

 

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