# Class 35: Expert Systems

Back to Game Trees. On to Neural Networks.

Held Wednesday, April 5, 2000

Overview

Today, we consider the predicate calculus and how it is used to implement ``intelligent'' systems.

Question 35 for discussion today: Model some set of relationships (preferably something other than family trees) with the predicate calculus.

Question 36 for discussion on Friday: Model some set of relationships (preferably something other than family trees) with the predicate calculus.

Notes

• Read Dewdney 27 (Perceptrons) and 36 (Neural Networks that Learn)
• Since so many of you had problems with today's question, I'm giving it to you again.

Contents

Summary

## A Computer Psychologist

These notes are adapted from notes from Henry Walker.

• In a dtterm window, type `emacs`
• When emacs opens, type `[Esc] X doctor`. Note that the `[Esc]` is the key at the upper-left side of the keyboard.
• Start conversing with Eliza. Type the `[Enter]` key twice after each of your responses.
• We'll spend a few minutes talking about Eliza, what it's like to interact with Eliza, and what possible algorithms might underlie Eliza.

## The Predicate Calculus, Revisited

• We'll try looking at this issue from a slightly different perspective: What did you learn from the chapter?

## Reasoning with the Predicate Calculus: Family Trees

• A predicate often models a relationship. What better relationship than family trees?
• We'll start with some basic rules and then see how we might automatically reason with those rules.

## History

Saturday, 22 January 2000

• Created as a blank outline.

Wednesday, 5 April 2000

• Filled in some of the details.

Back to Game Trees. On to Neural Networks.

Disclaimer Often, these pages were created "on the fly" with little, if any, proofreading. Any or all of the information on the pages may be incorrect. Please contact me if you notice errors.

This page may be found at http://www.math.grin.edu/~rebelsky/Courses/CS105/2000S/Outlines/outline.35.html

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