Knowledge Engineering: Building Cognitive Assistants for Evidence-Based Reasoning
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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.
Format:Hardcover
Language:English
ISBN:1107122562
ISBN13:9781107122567
Release Date:September 2016
Publisher:Cambridge University Press
Length:480 Pages
Weight:1.05 lbs.
Dimensions:1.0" x 7.1" x 10.4"
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