Preface
CHAPTER 1—Introduction
Merging Technologies
Multimedia and Artificial Intelligence
Imprtant Definitions
The Basics
Multimedia Applications
Text
Sound
Images
Video
Glue
Tools
Artificial Intelligence
Rule-Based or Expert Systems
Knowledge Representation
Tools
Other Books
The Rest of the Book
CHAPTER 2—Multimedia Authoring Tools
Introduction
Developing Your Own Multimedia Tool Versus Using a Commercially Available Tool
Language-Based Versus Graphic Interface–Based Tools
The Interaction Language
The IL Language in Greater Detail
IL’s Doorway
Authorware Professional for Windows
Recap
The Imprtance of Paradigms
Developing Multimedia Using Time Lines
Visual Basic as a Multimedia Authoring Tool
Introduction to Visual Basic
The ATM Simulation in Visual Basic
Some Comments about Visual Basic and the ATM Simulation
Chapter Summary
CHAPTER 3—The Multimedia Database
Introduction
Databases
Knowledge as Media
Architecture
Records in the Multimedia Database
An Example
Viewers, Loaders, and Operations
Retrieving Media by Content
Retrieving Media by Characteristic
Creating a Multimedia Database
Chapter Summary
Suggested Reading
CHAPTER 4—Tools for Intelligent Applications
Introduction
Making a Thinking Machine
The LISP Programming Language
A Brief LISP Tutorial
Logic as a Programming Language
A Brief Prolog Tutorial
Deriving Rules for the Operation of the Toaster
Expert Systems and Expert System Languages
What Is an Expert System?
A Small-X Tutorial
Rules to Make a Toaster Work
Chapter Summary
Suggested Reading
CHAPTER 5—Knowledge Representation
Introduction
Many Approaches for Many Reasons
Symbolic Representations
Semantic Networks
Introduction to Semantic Networks
Using Semantic Networks
Creating Your Own Semantic Networks
Representing a Semantic Network
A Tool for Creating Semantic Networks
Logic Representations
Introduction to Logic Representations
Using Logic Representations
Representation Structure
Using Frames
A Tool for Creating Frames
Chapter Summary
Suggested Reading
CHAPTER 6—Models
Introduction
Introducing Models
Why Models?
Qualitative and Quantitative Models
A Mini-How-To Guide
Step 1: What are the Components in the Mechanism?
Step 2: Identify Which Components Represent Sub-components of the Mechanism and Which Represent Connections between Mechanisms
Step 3: Identify the Relationships between Components in the Model
Step 4: Identify Implicit Relationships in the Mechanism
Step 5: Specify the Rules of Operation of the Model
Step 6: Test the model
Model Examples
PROUST
A Process-Oriented Model
Knowledge, Metaknowledge, Meta-metaknowledge
A More Complete Toaster
Step 1: What are the Components of the Mechanism?
Step 2: Identify Which Components Represent Subcomponents of the Mechanism and Which Represent Connections between Mechanisms
Steps 3 and 4: Identify Relationships between Components in the Model
Step 5: Specify the Rules of Operation of the Model
Step 6: Test the Model
Chapter Summary
Suggested Reading
CHAPTER 7—A Toaster Tutor
Introduction
Just What Is an Intelligent Tutor?
The Tutoring Domain
Now That We Know What It Is, What Do We Want It to Do?
Tutor Design
Story Board
How It Works
Tutor Models
Student Model
Instructional Model
Simulating the Simulation
Chapter Summary
Suggested Reading
CHAPTER 8—Natural Language Processing and Intelligent Multimedia
Introduction
Multimedia and Natural Language Processing
Natural Language Processing—The Details
Propositions Are the Key
Application Example 1—An Automatic Illustrator
Elements of the Automatic Illustrator
Application Example 2—A Foreign Language Tutor Named Habla
Pedagogy
A Proposed Description of Habla
Chapter Summary
Suggested Reading
CHAPTER 9—The Future of Intelligent Multimedia
What Does the Future Hold for Intelligent Multimedia?
Advances in Artificial Intelligence
Neural Nets
Genetic Programming
Advances in Multimedia
Virtual Reality and Environments
The Internet
Suggested Reading
APPENDIX A
Index
Another Multimedia Books
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