Artificial Intelligence Simplified: Understanding Basic Concepts by Binto GeorgeArtificial Intelligence Simplified: Understanding Basic Concepts by Binto George

Artificial Intelligence Simplified: Understanding Basic Concepts

byBinto George, Gail CarmichaelEditorSusan S Mathai

Paperback | January 11, 2016

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A small book that introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations.  A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science  can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems,  natural language processing, super intelligence,  etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook.  

Title:Artificial Intelligence Simplified: Understanding Basic ConceptsFormat:PaperbackDimensions:138 pages, 9 × 6 × 0.3 inPublished:January 11, 2016Publisher:CSTrends LLPLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1944708006

ISBN - 13:9781944708009

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Table of Contents

1. Introduction 71.1. Organization 91.2. The Operating Room Scheduling Problem 111.3. Generate and Test 142. Scheduling with Search Methods 182.1. Blind Search Methods 222.2. Heuristic Search Methods 252.2.1 Hill Climbing 272.2.2 Best First Search 342.3. Best Path Methods 353. Accommodating Surprises with Planning Techniques 393.1. Forward Planning 413.2. Backward Planning 423.3. Partial-Order Planning 433.4. Planning Under Uncertainty 444. Evolving Schedules with Genetic Algorithms 474.1. Genetic Programming 535. Learning from Experience With Neural Networks 555.1. Multi-layer neural networks 616. Expert Systems for Diagnosis 646.1. Expert System Types 666.1.1 Forward chaining 666.1.2 Backward chaining 676.1.3 Hybrid chaining 686.1.4 Deduction and reaction systems 686.2. Fuzzy Expert Systems 697. Handling Competing Goals With Game Trees 728. Communicating With Natural Language 788.1. Natural Language Understanding 819. Identifying Intelligence 859.1. Super Intelligence 8810. Conclusions and Where to Go From Here 9010.1. AI and Other Disciplines 9110.2. The Future of Artificial Intelligence 92Appendix A: Search Methods 96A.1. Depth First Search (DFS) 97A.2. Breadth First Search (BFS) 98A.3. Simple Hill Climbing 99A.4. Steepest Ascent Hill Climbing 100A.5. Best First Search 101A.6. A* 102Appendix B: Neural Network Learning More Complex Logic 104Appendix C: Fuzzy Expert System 11011. Bibliography 118INDEX 132