Adversarial Reasoning (eBook, ePUB)

Computational Approaches to Reading the Opponent's Mind
Redaktion: Kott, Alexander; McEneaney, William M.

• Format: ePub

Produktbeschreibung

Featuring approaches that draw from disciplines such as artificial intelligence and cognitive modeling, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind describes technologies and applications that address a broad range of practical problems, including military planning and command, military and foreign intelligence, antiterrorism and domestic security, as well as simulation and training systems. The authors present an overview of each problem and then discuss approaches and applications, combining theoretical rigor with accessibility. This comprehensive volume covers intent and plan recognition, deception discovery, and strategy formulation.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 20. Juli 2006
• Englisch
• ISBN-13: 9781040173237
• Artikelnr.: 73756067

Autorenporträt

Alexander Kott, William M. McEneaney

Inhaltsangabe

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.