Deception and Delay in Organized Conflict

Essays on the Mathematical Theory of Maskirovka
1. Auflage 2022
ISBN: 978-3-030-96176-3
Verlag: Springer International Publishing

Buch, Englisch, 75 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 149 g

Reihe: SpringerBriefs in Computational Intelligence

This book explores the role of deception, delay, and self-deception in the dynamics of organized conflict, taking a formal approach that hews closely to the asymptotic limit theorems of information and control theories. The resulting probability models can, with some effort—and some confidence—be converted to statistical tools for the analysis of real-time observational and ‘experimental’ data on institutionalized confrontation across both traditional and emerging ‘Clausewitz Landscapes’.

Zielgruppe

Research

Autoren/Hrsg.

Wallace, Rodrick

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

1. Failure of controlIntroductionThe Data Rate TheoremCognition rate and stabilityMultiple delaysMultiple theatersControl system thrashingDiscussionReferences2 Failure of institutional cognition IIntroductionThe Data Rate TheoremScalarizing resources and their interactionsFog, friction, and delayInstitutional cognition under delayDiscussionReferences3 Failure of institutional cognition IIIntroductionInstitutional cognition reconsideredIterated ‘Free Energy’ and system dynamicsSome examplesSome remarks on workgroup topologyDiscussionMathematical AppendixReferences4 The ‘Self-Maskirovka’ of military scientismIntroductionThe Data Rate TheoremScalarizing resources and their interactionsA first failure modelA second failure modelOther ’regression models’DiscussionReferences5 Extending the models