Knowledge engineering : building cognitive assistants for evidence-based reasoning / Gheorghe Tecuci, George Mason University, Dorin Marcu, George Mason University, Mihai Boicu, George Mason University, David A. Schum, George Mason University.
By: Tecuci, Gheorghe [author.]
Contributor(s): Marcu, Dorin [author.] | Boicu, Mihai (Infomation scientist) [author.] | Schum, David A [author.]
Language: English Publisher: New York NY : Cambridge University Press, 2016Description: xxiv, 455 pages : color illustrations ; 27 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781107122567 (hardback : alk. paper)Subject(s): Expert systems (Computer science) | Knowledge, Theory of -- Data processing | Computational learning theory | A priori -- Data processingDDC classification: 006.3/3 LOC classification: QA76.76.E95 | T435 2016| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 006.33 T227 2016 (Browse shelf) | Available | CITU-CL-47953 |
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| 006.33 L646 2008 Building an intelligent Web : theory and practice / | 006.33 L646 2008 Building an intelligent Web : theory and practice / | 006.33 M42 1995 Mathematical models for handling partial knowledge in artificial intelligence / | 006.33 T227 2016 Knowledge engineering : building cognitive assistants for evidence-based reasoning / | 006.37 C739 2012 Computer vision : a modern approach / | 006.37 F774 2003 Computer vision : a modern approach / | 006.4 R482 1996 Pattern recognition and neural networks / |
AUTHORS: Gheorghe Tecuci, George Mason University, Virginia
Gheorghe Tecuci (PhD, University of Paris-South and Polytechnic Institute of Bucharest) is Professor of Computer Science and Director of the Learning Agents Center at George Mason University, Virginia, Member of the Romanian Academy, and former Chair of Artificial Intelligence at the US Army War College. He has published 11 books and more than 190 papers.
Dorin Marcu, George Mason University, Virginia
Dorin Marcu (PhD, George Mason University) is Research Assistant Professor in the Learning Agents Center at George Mason University, Virginia. He collaborated in the development of the Disciple Learning Agent Shell and a series of cognitive assistants based on it for different application domains, such as Disciple-COA (course of action critiquing), Disciple-COG (strategic center of gravity analysis), Disciple-LTA (learning, tutoring, and assistant), and Disciple-EBR (evidence-based reasoning).
Mihai Boicu, George Mason University, Virginia
Mihai Boicu (PhD, George Mason University) is Associate Professor of Information Sciences and Technology and Associate Director of the Learning Agents Center at George Mason University, Virginia. He is the main software architect of the Disciple agent development platform and coordinated the software development of Disciple-EBR. He has received the IAAI Innovative Application Award.
David A. Schum, George Mason University, Virginia
David A. Schum (PhD, Ohio State University) is Emeritus Professor of Systems Engineering, Operations Research, and Law, as well as Chief Scientist of the Learning Agents Center at George Mason University, Virginia. He has published more than 100 research papers and 6 books on evidence and probabilistic inference, and is recognized as one of the founding fathers of the emerging Science of Evidence.
Includes bibliographical references (pages 433-442) and index.
Table of Contents
1. Introduction
2. Evidence-based reasoning: connecting the dots
3. Methodologies and tools for agent design and development
4. Modeling the problem-solving process
5. Ontologies
6. Ontology design and development
7. Reasoning with ontologies and rules
8. Learning for knowledge-based agents
9. Rule learning
10. Rule refinement
11. Abstraction of reasoning
12. Disciple agents
13. Design principles for cognitive assistants.
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.
Presents a significant advancement in the theory and practice of knowledge engineering
Follows a hands-on approach to learning knowledge engineering
Disciple-EBR is provided as a tool to develop personal learning assistants
Read more at http://www.cambridge.org/ph/academic/subjects/computer-science/artificial-intelligence-and-natural-language-processing/knowledge-engineering-building-cognitive-assistants-evidence-based-reasoning#ZKRlWAOPUigjFu7w.99
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