Overview

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.

Full Product Details

Author:   Tshilidzi Marwala ,  Monica Lagazio
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.576kg
ISBN:  

9780857297891

ISBN 10:   0857297899
Pages:   254
Publication Date:   24 August 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Modelling Conflicts between States: New Development for an Old Problem.-Automatic Relevance Determination for Identifying Interstate Conflict.-Multi-Layer Perception and Radial Basis Function for Modeling Interstate Conflict.-Bayesian Approaches to Modeling Interstate Conflict.-Support Vector Machines for Modeling Interstate Conflict.-Fuzzy Sets for Modeling Interstate Conflict.-Rough Sets for Modeling Interstate Conflict.-Particle Swarm Optimization and Hill-Climbing Optimized Rough Sets for Modeling Interstate Conflict.-Simulated Annealing Optimized Rough Sets for Modeling Interstate Conflict.-Genetic Algorithm with Optimized Rough Sets for Modeling Interstate Conflict.-Neuro-Rough Sets for Modeling Interstate Conflict.-Early Warning and Conflict Prevention Using Computational Techniques.-Conclusions and Emerging Topics.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions