Adversarial Reasoning

Computational Approaches to Reading the Opponent's Mind
1. Auflage 2006
ISBN: 978-1-58488-588-7
Verlag: CRC Press

Buch, Englisch, 364 Seiten, Format (B × H): 156 mm x 243 mm, Gewicht: 649 g

Reihe: Chapman & Hall/CRC Computer and Information Science Series

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: Computational Approaches to Reading the Opponent's Mind discusses the technologies for opponent strategy prediction, plan recognition, deception discovery and planning, and strategy formulation that not only applies to security issues but also to game industry and business transactions.

Addressing a broad range of practical problems, including military planning and command, military and foreign intelligence, antiterrorism, network security, as well as simulation and training systems, this reference presents an overview of each problem and then explores various approaches and applications to understand the minds and negate the actions of your opponents. The techniques discussed originate from a variety of disciplines such as stochastic processes, artificial intelligence planning, cognitive modeling, robotics and agent theory, robust control, game theory, and machine learning, among others. The beginning chapters outline the key concepts related to discovering the opponent's intent and plans while the later chapters journey into mathematical methods for counterdeception. The final chapters employ a range of techniques, including reinforcement learning within a stochastic dynamic games context to devise strategies that combat opponents.

By answering specific questions on how to create practical applications that require elements of adversarial reasoning while also exploring theoretical developments, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind is beneficial for practitioners as well as researchers.

Zielgruppe

Professional and Professional Practice & Development

Autoren/Hrsg.

Kott, Alexander

McEneaney, William M

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Militärwesen
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Militär- und Verteidigungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.

Über Autor(innen)

Alexander Kott, William M. McEneaney