"This well-written and concise text is an introduction to the field of adversarial risk analysis (ARA), which is a form of decision and risk analysis which incorporates uncertainty and game theory to model strategies of an adversaryThere is an appropriate amount of detail throughout the book, making it suitable for a reference text as well as a book which may be read cover to cover and it is both thought provoking and enlightening." Matthew Craven, Plymouth University, Journal of the Royal Statistical Society, Series A, January 2017
"Here, Banks (Duke Univ.), Rios (IBM), and Insua (ICMAT-CSIC, Spain) identify three categories of uncertainty for the strategist: aleatory uncertaintynondeterminism of outcomes even after players make choices; epistemic uncertaintyhidden information concerning opponents' preferences, beliefs, and capabilities; and concept uncertaintyhidden information concerning opponents' strategies. Adversarial risk analysis, a new field with roots in modern efforts to defeat terrorism, provides a framework, in principle, to cope with these uncertainties. Solving the models seems generally intractable, but the heart of the book, the first of its kind, offers exemplary case studies. Summing up: Recommended. Lower-division undergraduates and above; informed general audiences." D. V. Feldman, University of New Hampshire, Durham, USA, for CHOICE, March 2016
