Knowledge Engineering: Building Cognitive Assistants for Evidence-based Reasoning

Knowledge Engineering: Building Cognitive Assistants for Evidence-based Reasoning

Cambridge | Artificial Intelligence | Sept. 8 2016 | ISBN-10: 1107122562 | 476 Pages | PDF | 19.68 mb
by Gheorghe Tecuci (Author), Dorin Marcu (Author), Mihai Boicu (Author), David A. Schum (Author)

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

Computer Mathematics
Expert Systems
Human Vision & Language Systems
Theory of Computing
Natural Language Processing


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