Intelligent Multimedia Systems
Preface CHAPTER 1—Introduction Merging Technologies Multimedia and Artificial Intelligence Important 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 Importance 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
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