Knowledge Engineering
eBook - PDF

Knowledge Engineering

Building Cognitive Assistants for Evidence-based Reasoning

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Knowledge Engineering

Building Cognitive Assistants for Evidence-based Reasoning

About this book

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.

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Yes, you can access Knowledge Engineering by Gheorghe Tecuci,Dorin Marcu,Mihai Boicu,David A. Schum in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Table of contents
  6. Preface
  7. Acknowledgments
  8. About the Authors
  9. 1 Introduction
  10. 2 Evidence-based Reasoning: Connecting the Dots
  11. 3 Methodologies and Tools for Agent Design and Development
  12. 4 Modeling the Problem-Solving Process
  13. 5 Ontologies
  14. 6 Ontology Design and Development
  15. 7 Reasoning with Ontologies and Rules
  16. 8 Learning for Knowledge-based Agents
  17. 9 Rule Learning
  18. 10 Rule Refinement
  19. 11 Abstraction of Reasoning
  20. 12 Disciple Agents
  21. 13 Design Principles for Cognitive Assistants
  22. References
  23. Appendixes
  24. Index