Knowledge Engineering

Building Cognitive Assistants for Evidence-Based Reasoning

By Gheorghe Tecuci,Dorin Marcu,Mihai Boicu,David A. Schum | Publisher: Cambridge University Press

About the book

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of systems that use expert knowledge and reasoning to solve complex problems. It covers the main stages in the development of a knowledge-based system: understanding the application domain, modeling problem solving in that domain, developing the ontology and the reasoning rules, and testing the system. The book focuses on a special class of systems - learning assistants for evidence-based reasoning that learn complex problem solving expertise directly from human experts, support experts and non-experts 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 rapidly develop learning assistants in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cyber security, law, forensics, medicine, and education.

Editions of Knowledge Engineering

Hardcover
ISBN 9781107122567

Read an Excerpt

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of systems that use expert knowledge and reasoning to solve complex problems. It covers the main stages in the development of a knowledge-based system: understanding the application domain, modeling problem solving in that domain, developing the ontology and the reasoning rules, and testing the system. The book focuses on a special class of systems - learning assistants for evidence-based reasoning that learn complex problem solving expertise directly from human experts, support experts and non-experts 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 rapidly develop learning assistants in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cyber security, law, forensics, medicine, and education.

Frequently Asked Questions

What is Knowledge Engineering about?

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of systems that use expert knowledge and reasoning to solve complex problems. It covers the main stages in the development of a knowledge-based system: understanding the application domain, modeling problem solving in that domain, developing the ontology and the reasoning rules, and testing the system. The book focuses on a special class of systems - learning assistants for evidence-based reasoning that learn complex problem solving expertise directly from human experts, support experts and non-experts 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 rapidly develop learning assistants in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cyber security, law, forensics, medicine, and education.

What core themes, tropes, or subjects are explored in Knowledge Engineering?

Computing and Information Technology > Computer science > Artificial intelligence (AI) > Expert systems / knowledge-based systems

Where can I read a sample of Knowledge Engineering?

You can read an official preview of the few pages here https://www.book2look.com/book/9781107122567

Who is/are the Author/s of the book Knowledge Engineering?

Gheorghe Tecuci,Dorin Marcu,Mihai Boicu,David A. Schum

Who is the Publisher of the book Knowledge Engineering?

Cambridge University Press

What are the ISBN numbers for the physical and digital editions?

Knowledge Engineering is available as hardcover(ISBN 9781107122567)