Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind
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:
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Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind
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:
180.0 In Stock
Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind

Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind

Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind

Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind

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Overview

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:

Product Details

ISBN-13: 9781040173237
Publisher: CRC Press
Publication date: 07/20/2006
Series: Chapman & Hall/CRC Computer and Information Science Series
Sold by: Barnes & Noble
Format: eBook
Pages: 340
File size: 9 MB

About the Author

Alexander Kott, William M. McEneaney

Table of Contents

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.
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