Intelligence Analysis as Discovery of Evidence, Hypotheses, and Arguments: Connecting the Dots - Rilegato

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

Rilegato

ISBN 10: 1107122600 ISBN 13: 9781107122604

Casa editrice: Cambridge University Press, 2016

Riassunto

Using a flexible software system, this book teaches evidential and inferential issues used in drawing conclusions from masses of evidence.

Su questo libro

Informazioni sugli autori

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 eleven books and more than 190 papers.

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 one hundred research papers and six books on evidence and probabilistic inference, and is recognized as one of the founding fathers of the emerging Science of Evidence.

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 (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.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1107122600
• ISBN 13: 9781107122604
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 272
• Contatto del produttore: non disponibile
• Persona responsabile: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; Francia