CSCE 4310/5210 Introduction to Artificial Intelligence

Dr. Kathleen M. Swigger
F253 RP
Office Hours - 1-2 & 3:30-5 Tues.,1-2 Thurs.
email = kathy{at}cs.unt.edu

Grader - Paul Lin
email - chiaen{at}unt.edu
Office hours are: 8:00 - 12:00 Monday Morning in F205

• Book Site (Sorry it took so long)
• Outline for course
• AI Space for learning-- neat place

• Introduction
• Intro. to Agents
• Introduction to Search
• Uninformed Search cont.
• Informed Search
• Constraint Satisfaction /A>
• Genetic Algorithm
• Games -- adversarial search
• Representation - Propositional Logic
• Predicate Calculus
• Knowledege based systems
• Jess Introduction
• Jess expert system lab
• Semantic Nets and Frames
• Machine Learning
• Data referenced in lecture
• Version Space
• Example of candidate elimination
• Decision Trees
• Neural Networks
• Bayesian Networks
• Bayesian Networks 2
• Bayesian Networks 3
• Bayes Lab
• Solution
• Cluster Analysis
• Evaluation of Machine Learning
• Final review -- Final schedule for May 12 - 1:30-3:30
• Answers
• More problems
• Answers to above problems

• First Assignment
• File I/O lisp>
• Jess Project (sorry)
• A good reference for Jess (part. 4)
• Project 3 -- data sets will follow
• Training data
• Test data
• C++ version that didn't look too bad
• Some lisp examples
• one lisp
• two lisp
• three lisp

• Review for Exam 1
• Review for Exam 2
• Answers

• LISPTutorial by Ray Dougherty and Marc Schwarz of the NYU NaturalLanguage Computing Project.
• Another Tutlorial
• Yet another Tutorial
• Jeff Dalton's CLOS Guide.

Lisp information

• COMMON COMMANDS OF LISP THAT YOU NEED TO KNOW
• Capturing Output
• Editing Lisp in VI
• Intro. to Emacs
• Emacs quick reference
• Free Lisp BOOKS -- this is Paul Graham's website.You might want to look around, because it has a lot of neat stuff about lisp.