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| Foreword to the Second Edition | |
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| Preface | |
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| Acknowledgments | |
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| About the Authors | |
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| Introduction | |
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| Artificial Intelligence | |
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| Basic Concepts | |
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| Symbol Processing | |
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| Neural Networks | |
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| The Internet and the Web | |
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| Intelligent Agents | |
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| Events, Conditions, and Actions | |
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| Taxonomies of Agents | |
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| Agency, Intelligence, and Mobility | |
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| Processing Strategies | |
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| Processing Functions | |
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| Agents and Human-Computer Interfaces | |
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| Using Java for Intelligent Agents | |
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| Overview of the Java Language | |
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| Autonomy | |
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| Intelligence | |
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| Mobility | |
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| Summary | |
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| Problem Solving Using Search | |
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| Defining the Problem | |
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| State Space | |
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| Search Strategies | |
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| Breadth-First Search | |
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| Depth-First Search | |
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| The SearchNode Class | |
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| Search Application | |
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| Breadth-First Search | |
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| Depth-First Search | |
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| Improving Depth-First Search | |
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| Heuristic Search | |
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| Genetic Algorithms | |
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| Summary | |
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| Exercises | |
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| Knowledge Representation | |
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| From Knowledge to Knowledge | |
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| Representation | |
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| Procedural Representation | |
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| Relational Representation | |
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| Hierarchical Representation | |
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| Predicate Logic | |
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| Resolution | |
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| Unification | |
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| Frames | |
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| Semantic Nets | |
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| Representing Uncertainty | |
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| Knowledge Interchange Format | |
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| Building a Knowledge Base | |
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| Summary | |
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| Exercises | |
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| Reasoning Systems | |
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| Reasoning with Rules | |
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| Forward Chaining | |
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| A Forward-Chaining Example | |
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| Backward Chaining | |
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| Fuzzy Rule Systems | |
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| The Rule Application | |
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| Rules | |
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| Clauses | |
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| Variables | |
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| Rule Variables | |
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| Boolean Rule Base | |
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| Forward-Chaining Implementation | |
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| Backward-Chaining Implementation | |
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| The FuzzyRuleBase Classes | |
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| FuzzyRule | |
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| FuzzyClauses | |
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| ContinuousFuzzyRuleVariable | |
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| FuzzySet | |
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| Trapezoid Fuzzy Set Class | |
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| TriangleFuzzySet Class | |
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| ShoulderFuzzySet Class | |
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| WorkingFuzzySet Class | |
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| FuzzyRuleBase | |
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| Fuzzy Forward-Chaining Implementation | |
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| Rule Application Implementation | |
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| The Vehicles RuleBase Implementation | |
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| The Motor RuleBase Implementation | |
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| Planning | |
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| Summary | |
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| Exercises | |
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| Learning Systems | |
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| Overview | |
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| Learning Paradigms | |
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| Neural Networks | |
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| Back Propagation | |
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| Kohonen Maps | |
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| Decision Trees | |
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| Information Theory | |
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| Learn Application | |
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| Continuous Variables | |
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| Discrete Variables | |
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| The DataSet Class | |
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| BackProp Implementation | |
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| Kohonen Map Implementation | |
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| Decision Tree Implementation | |
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| The Learn Application Implementation | |
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| Summary | |
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| Exercises | |
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| Agents and Multiagent Systems | |
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| Transition from AI to IA | |
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| Perception | |
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| Action | |
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| Multiagent Systems | |
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| Blackboards | |
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| Communication | |
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| Knowledge Query and Manipulation Language (KQML) | |
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| Agent Standards | |
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| FIPA | |
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| OMG | |
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| Cooperating Agents | |
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| Multiagent Planning | |
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| Competing Agents | |
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| Negotiation | |
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| Agent Software Engineering Issues | |
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| Designing Agents | |
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| Summary | |
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| Exercises | |
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| Intelligent Agent Framework | |
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| Requirements | |
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| Design Goals | |
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| Functional Specifications | |
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| Intelligent Agent Architecture | |
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| The CIAgent Framework | |
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| The CIAgent Base Classes | |
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| CIAgentEvent | |
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| CIAgentEventListener | |
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| CIAgentEventQueue | |
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| BooleanRuleBase Enhancements | |
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| Discussion | |
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| Summary | |
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| Exercises | |
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| Personal Agent Manager Application | |
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| Introduction | |
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| The FileAgent | |
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| The PAManagerFrame | |
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| FileAgent Example | |
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| The SchedulerAgent | |
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| The UserNotificationAgent | |
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| The AirfareAgent | |
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| Discussion | |
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| Summary | |
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| Exercises | |
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| InfoFilter Application | |
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| Introduction | |
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| An Example | |
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| InfoFilterFrame Class | |
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| NewsReaderAgent Class | |
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| URLReaderAgent Class | |
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| NewsArticle Class | |
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| FilterAgent Class | |
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| Discussion | |
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| Summary | |
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| Exercises | |
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| MarketPlace Application | |
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| Introduction | |
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| An Example | |
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| FacilitatorAgent | |
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| BuySellMessage | |
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| BuyerAgent | |
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| SellerAgent | |
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| Enhanced Buyers and Sellers | |
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| MarketPlace Application | |
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| Discussion | |
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| Summary | |
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| Exercises | |
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| Java-Based Agent Environments | |
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| Agent Building and Learning Environment (ABLE) | |
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| AgentBuilder | |
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| Aglets | |
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| FIPA-OS | |
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| Gossip | |
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| JADE | |
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| JATLite | |
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| Jess | |
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| Voyager | |
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| ZEUS | |
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| Discussion | |
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| Summary | |
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| Bugs and Plants Rule Bases | |
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| The Bugs Rule Base Implementation | |
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| The Plants Rule Base Implementation | |
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| Training Data Sets | |
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| Vehicles Data | |
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| Vehicles.dfn | |
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| Vehicles.dat | |
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| Xor Data | |
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| Xor.dfn | |
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| Xor.dat | |
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| XorTree Data | |
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| XorTree.dfn | |
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| XorTree.dat | |
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| Animal Data | |
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| Animal.dfn | |
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| Animal.dat | |
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| Ramp2 Data | |
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| Ramp2.dfn | |
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| Ramp2.dat | |
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| Restaurant Data | |
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| Resttree.dfn | |
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| Resttree.dat | |
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| Kmap 1 Data | |
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| Kmap 1.dfn | |
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| Kmap 1.dat | |
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| ColorTree Data | |
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| ColorTree.dfn | |
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| ColorTree.dat | |
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| The CD-ROM | |
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| User Assistance and Information | |
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| Bibliography | |
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| Index | |