Adversarial Reasoning
Computational Approaches to Reading the Opponent's Mind
Published on 20. July 2006
340 pages
978-1-4200-1101-2 (ISBN)
Description
The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning:
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Researchers and engineers in game theory, control theory, AI planning, agent theory, and cognitive modeling; practitioners in military planning and analysis, intelligence, antiterrorism and domestic security, law enforcement, financial and information security, simulation and training systems, and applied robotics.
Illustrations
97 s/w Abbildungen, 26 s/w Tabellen
97 b/w images, 26 tables and 181 equations
File size
7,09 MB
ISBN-13
978-1-4200-1101-2 (9781420011012)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Alexander Kott | William M. McEneaney
Adversarial Reasoning
Computational Approaches to Reading the Opponent's Mind
Book
07/2006
1st Edition
Chapman & Hall/CRC
€197.10
Shipment within 15-20 days
Persons
Alexander Kott, William M. McEneaney
Content
Adversarial Models for Opponent Intent Inferencing. Human Factors in Opponent Intent. Extrapolation of the Opponent's Past Behaviors. Plan Recognition. Detecting Deception. Deception as a Semantic Attack. Application and Value of Deception. Robustness against Deception. The Role of Imperfect Information. Handling Partial and Corrupted Information. Strategies in Large-Scale Problems. Learning to Strategize. Learning from and about the Opponent. Index.
