Week 1Session Summary

MSE614-SP08- I. Costea, Ph.D.1st session

HW#1 assigned: only reading, no exercises

Teaching on board (no transparencies) Introduction to the course Introduction to AI

- What is Intelligence- What is Artificial Intelligence- What are ESs - Turing Test

Search methods: Depth first, Breath First, Hill Climbing Class Exercises on search

-----------------------------------------------------------------------------------------------------------HW due next time (4th Session):

Read Preface - Luger Read/Study Chapter 1 in Luger Go on-line and try “Eliza” Expert System

Week 2Session Summary

MSE614-SP08- I. Costea, Ph.D.

Lecture: Problem Representation and Problem Solving Strategies

Problem-Solving Process Information Processing

Model of Human Information Processing (Newell-Simon)

Comparison/Differences Info. Processing by humans and computers

Problem Solving Strategies and Search Approaches Search and Reasoning: A

AI versus non-AI Tools PS and Search Approaches

o Generate and Testo Search Directions:

Goal-driven Data-driven

o Heuristic Searches Definition/Meaning Examples Comparison:

Heuristic vs. Analytical Optimization Benefits and Disadvantages of Heuristic

Key Terms of Problem Solving/Searches Highlights Problem Solving Approaches/Searches

In-class group exercisesReading Assignment: On-line AI Articles (do an informal presentation per group with 3 bullets on board per group to discuss)HW exercises for next session

Week 3MSE614-SP08- I. Costea, Ph.D.

Lecture – Fundamentals of Expert SystemsHW#2 Due

HW#3 assigned

2. Questionnaire on student knowledge/background3. Homework Due: HW#2 consisting of two parts:

a. Read the articles from on-line on handout distributed in Session #2Prepare 3 bullets per group of 3 important/interesting ideas in all from the 3 articles, and write bullets on board and discuss in class

b. Solve problems #13, #14, #15 from handout of last time; 1st problem (doctor’s patients, and #12 were worked in class 2nd session)

HW#2 – problems collected (one set per group) HW#2 – solution to coin problem distributed on paper in class HW#2 – solution to #13 and additional discussion about 80-20 (Pareto)

Principle HW#2 – solution to #15 HW#2 – articles: students wrote bullets (3 per group) on board - discussion

4. Lecture on Expert Systems Fundamentals (13 transparencies)5. A set of handouts distributed on paper: Early and Classical ES + Means End

Analysis and Table ES tasks/criteria (6 pages: Early Expert Systems, Evolution of ES, CATS-1 (DELTA) + Table ES criteria/tasks, Classic Expert Systems table, MYCIN, XCON.

6. A HW#3 exercises page (problems 1-6 HW#3)

-----------------------------------------------------------------------------------------------------------HW due next time (4th Session):

Read the handout with Early and Classical ES (#4 above) Read Chapter 4 in Luger Solve exercises in HW#3 on handout (#5 above)

Week 4Session Summary

MSE614-SP08- I. Costea, Ph.D.1st session

HW#1 assigned: only reading, no exercises

Lecture: 1st Part of KNOWLEDGE REPRESENTATIONPropositional and Predicate Calculus – Semantic Networks(Taught with Transparencies and on the board)

Handouts:o Questions for Reviewo Questions for Discussion

(not discussed in class, neither assigned as HW; students should be able to answer the questions)

o Handout on Classical Expert Systems: several pages (include CATS-1/Delta, MYCIN, XCON) – Read and study for next session – one handout per group

o One page instructions for the final project (students should think about it and discuss it with their groups; specifics will be discussed next time in class)

o Handout with exercises

Questions for Review on Fundamentals of Expert Systems(from handout distributed to the class)

Odd questions discussed in groups in class, then instructor presented solutions on transparencies

Odd questions assigned as HW for next time

Solution to Question No 3 on Exercises Handout

Week 5 - SummaryMSE614-SP08- I. Costea, Ph.D.

Lecture – Knowledge Representation Continued:Rules, Frames, O-A-V Triplets, Scripts

HW# Due: - Review Questions (even # questions)

& - One Truth Table problem

from Luger # 3 p. 78 < -- > logical operator

HW# Assigned: - Class Presentation for next session

(different per each group, see below)- Questions on Knowledge Representation (KR) (handout)

Including the 6 rules for car expert systems

Handouts given to class: - Questions on KR #1 to #5:

o Done-in-Class: #1 Frame – Robin; #3 O-A-V lake, stock market, bridge, car’s engine

o HW for next session: #2 Script shopping at supermarket #5 Translate verbal statement into rules car’s shop

manualo Do not work yet: #4 List

- Scripts one page handout (description plus example)

Lecture: Solutions to HW on Review Questions (even) on KR: Frames, Rules

Video: Goldhill – GoldWorks: Frames

New formation of groups for final project (see groups below)

Discussion on next group presentation and final project (separate discussion with each group). Topic of final project assigned, different to each group (see below)

Alternative emails of students written by students to form email list