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

Gheorghe Tecuci

ISBN 10: 1107122600 / ISBN 13: 9781107122604

Editore: Cambridge University Press Aug 2016, 2016

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Neuware - This unique book on intelligence analysis covers several vital but often overlooked topics. It teaches the evidential and inferential issues involved in 'connecting the dots' to draw defensible and persuasive conclusions from masses of evidence: from observations we make, or questions we ask, we generate alternative hypotheses; we make use of our hypotheses to generate new lines of inquiry and evidence; and we test the hypotheses on the basis of the evidence we are discovering. To facilitate the learning of these issues and enable the performance of complex analyses, the book introduces an intelligent analytical tool, called Disciple-CD. Readers will practice with Disciple-CD and learn how to formulate hypotheses; develop arguments that reduce complex hypotheses to simpler ones; collect evidence to evaluate the simplest hypotheses; assess the relevance, believability, and inferential force of evidence; and finally judge the probability of the hypotheses. Codice articolo 9781107122604

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Titolo: Intelligence Analysis as Discovery of ...

Casa editrice: Cambridge University Press Aug 2016

Data di pubblicazione: 2016

Legatura: Buch

Condizione: Neu

Descrizione articolo

Riassunto:

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

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.