Extended Evolutionary Game Theory

A Systems View of Information Warfare

ABSTRACT

This paper is a conceptual discussion in system theory of information warfare as an open system, and sets new demands on how to approach and manage such systems. By arguing for an open system approach, such as Intuitive Battle Dynamics, it appears to be possible to understand and also to handle and manage a complex problem, such as information warfare. This could lead to Commanders changing their way of using systems with both physical and psychological components in order to master the information warfare concept in clever ways.

Published In

Volume 1, Issue 1

Written By

Henrik Friman

A New Extended Evolutionary Game Theory Approach to Strategic Information Warfare Research

ABSTRACT

The extended evolutionary game theory (EEGT) extends traditional evolutionary game theory (EGT) with survival analysis and agreement algorithms. Survival analysis, a branch of modern biostatistics, is adopted to model the consequences of the so-termed UUUR (Uncertain, latent, Unobserved or Unobservable Risks) events. Agreement algorithms can be the Agreement algorithms from the traditional fault-tolerant distributed computing or any problem-specific (user-defined) algorithms (constraints) that allow game players to dynamically check and 'vote' for a possible consensus. The EEGT was initiated in the study of reliability and survivability of distributed computer networks and is particularly suitable for addressing critical issues such as dynamic uncertainty, vulnerability, frailty, and deception, which are often associated with distributed systems under stressed environments where the occurrence of UUUR events is the norm. Strategic information warfare (SIW) clearly falls within the scope of such systems. In this paper, the EEGT is introduced to the modelling of SIW from a three-layer (tactical, strategic and operational levels) perspective.  When applied to SIW, a tertiary extension to EEGT with hedging principle is necessary at the operational level, similar to the application of the EEGT to survivability analysis.

Published In

Volume 8, Issue 2

Written By

Zhanshan (Sam) Ma

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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AI
APT

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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