9780857297891 - militarized conflict modeling using computational intelligence: advanced information and knowledge processing von marwala, tshilidzi; lagazio, monica (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2011
Serie: Advanced Information and Knowledge Processing, Buch 32 von 66. Buch 32 von 66 - Advanced Information and Knowledge Processing
- Hardcover
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc 2011
Serie: Advanced Information and Knowledge Processing, Buch 32 von 66. Buch 32 von 66 - Advanced Information and Knowledge Processing
- Hardcover
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Hardcover. Zustand: Brand New. 271 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Springer 2011
Serie: Advanced Information and Knowledge Processing, Buch 32 von 66. Buch 32 von 66 - Advanced Information and Knowledge Processing
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Sprache: Englisch
Verlag: Springer London 2011
Serie: Advanced Information and Knowledge Processing, Buch 32 von 66. Buch 32 von 66 - Advanced Information and Knowledge Processing
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | 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.
