Militarized Conflict Modeling Using Computational Intelligence / by Tshilidzi Marwala, Monica Lagazio.

Format:

Book

Author/Creator:

Marwala, Tshilidzi, 1971- author.

Lagazio, Monica, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Advanced information and knowledge processing 1610-3947

Advanced Information and Knowledge Processing, 1610-3947

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

Local Subjects:

Artificial Intelligence.

Physical Description:

1 online resource (XVIII, 254 pages).

Edition:

First edition 2011.

Contained In:

Springer eBooks

Place of Publication:

London : Springer London : Imprint: Springer, 2011.

System Details:

text file PDF

Summary:

Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game theory. The inherent limitation of game theory when dealing with more than three players in a game is the main motivation for the application of computational intelligence in modeling conflict. Militarized interstate disputes (MIDs) are defined as a set of interactions between, or among, states that can result in the display, threat or actual use of military force in an explicit way. These interactions can result in either peace or conflict. This book models the relationship between key variables and the risk of conflict between two countries. The variables include Allies which measures the presence or absence of military alliance, Contiguity which measures whether the countries share a common boundary or not and Major Power which measures whether either or both states are a major power. Militarized Conflict Modeling Using Computational Intelligence implements various multi-layer perception neural networks, Bayesian networks, support vector machines, neuro-fuzzy models, rough sets models, neuro-rough sets models and optimized rough sets models to create models that estimate the risk of conflict given the variables. Secondly, these models are used to study the sensitivity of each variable to conflict. Furthermore, a framework on how these models can be used to control the possibility of peace is proposed. Finally, new and emerging topics on modelling conflict are identified and further work is proposed.

Other Format:

Printed edition:

ISBN:

978-0-85729-790-7

9780857297907

Access Restriction:

Restricted for use by site license.