Models Data And War
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Author | : Christopher A. Lawrence |
Publisher | : U of Nebraska Press |
Total Pages | : 404 |
Release | : 2017-01-01 |
Genre | : History |
ISBN | : 1612349153 |
War by Numbers assesses the nature of conventional warfare through the analysis of historical combat. Christopher A. Lawrence establishes what we know about conventional combat and why we know it. By demonstrating the impact a variety of factors have on combat he moves such analysis beyond the work of Carl von Clausewitz and into modern data and interpretation. Using vast data sets, Lawrence examines force ratios, the human factor in case studies from World War II and beyond, the combat value of superior situational awareness, and the effects of dispersion, among other elements. Lawrence challenges existing interpretations of conventional warfare and shows how such combat should be conducted in the future, simultaneously broadening our understanding of what it means to fight wars by the numbers.
Author | : Eli Berman |
Publisher | : Princeton University Press |
Total Pages | : 411 |
Release | : 2018-06-12 |
Genre | : Political Science |
ISBN | : 140089011X |
How a new understanding of warfare can help the military fight today’s conflicts more effectively The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today's conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Data presents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict--enabled by vast data, rich qualitative evidence, and modern methods—yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians—and the information they might choose to provide—can turn the tide at critical junctures. The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war. Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population.
Author | : Christopher A. Lawrence |
Publisher | : U of Nebraska Press |
Total Pages | : 389 |
Release | : 2017-08 |
Genre | : History |
ISBN | : 161234917X |
War by Numbers assesses the nature of conventional warfare through the analysis of historical combat. Christopher A. Lawrence establishes what we know about conventional combat and why we know it. By demonstrating the impact a variety of factors have on combat he moves such analysis beyond the work of Carl von Clausewitz and into modern data and interpretation. Using vast data sets, Lawrence examines force ratios, the human factor in case studies from World War II and beyond, the combat value of superior situational awareness, and the effects of dispersion, among other elements. Lawrence challenges existing interpretations of conventional warfare and shows how such combat should be conducted in the future, simultaneously broadening our understanding of what it means to fight wars by the numbers.
Author | : Andrew Ilachinski |
Publisher | : World Scientific |
Total Pages | : 962 |
Release | : 2004 |
Genre | : History |
ISBN | : 9789812562401 |
Military conflicts, particularly land combat, possess thecharacteristics of complex adaptive systems: combat forces arecomposed of a large number of nonlinearly interacting parts and areorganized in a dynamic command-and-control network; local action, which often appears disordered, self-organizes into long-range order;military conflicts, by their nature, proceed far from equilibrium;military forces adapt to a changing combat environment; and there isno master voice that dictates the actions of every soldier (i
Author | : Tshilidzi Marwala |
Publisher | : Springer Science & Business Media |
Total Pages | : 268 |
Release | : 2011-08-24 |
Genre | : Computers |
ISBN | : 0857297902 |
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.
Author | : Deborah G. Mayo |
Publisher | : Cambridge University Press |
Total Pages | : 503 |
Release | : 2018-09-20 |
Genre | : Mathematics |
ISBN | : 1108563309 |
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Author | : David C. Gompert |
Publisher | : Rand Corporation |
Total Pages | : 329 |
Release | : 2014-11-26 |
Genre | : History |
ISBN | : 0833087789 |
The history of wars caused by misjudgments, from Napoleon’s invasion of Russia to America’s invasion of Iraq, reveals that leaders relied on cognitive models that were seriously at odds with objective reality. Blinders, Blunders, and Wars analyzes eight historical examples of strategic blunders regarding war and peace and four examples of decisions that turned out well, and then applies those lessons to the current Sino-American case.
Author | : Ben Connable |
Publisher | : |
Total Pages | : 0 |
Release | : 2018 |
Genre | : Business & Economics |
ISBN | : 9781977400444 |
This report defines and describes will to fight and provides a model of unit will to fight that can be applied to ground combat units of any scale. It also provides a theoretical basis for adding will to fight to military war gaming.
Author | : Trevor Nevitt Dupuy |
Publisher | : |
Total Pages | : 312 |
Release | : 1992 |
Genre | : |
ISBN | : |
Author | : Reiner Huber |
Publisher | : Springer Science & Business Media |
Total Pages | : 350 |
Release | : 2013-11-11 |
Genre | : Business & Economics |
ISBN | : 1475709587 |
This volume brings forth a set of selected papers from the Conference on Modeling Land Sattle Systems for Military Planning. Sponsored by the Special Programme Panel on Systems Science of the NATO Science Committee, the conference took place in Ottobrunn, Germany, at the War Gaming Centre of Industrieanlagen-Betriebsgesellschaft. The idea to organize a conference on land battle systemmodelswas first suggested to me in 1g72 by Andreas Mortensen, then a member of the Norwegian Defence Research Establishment and presently at the SHAPE Technical Centre, when we discussed the apparent inconsistencies of various evaluations of force capability within NATO. Frequently, decision makers are confronted by contradictory results of different studies addressing essentially the same problern leaving them with the impression that the tools of systems analysis and operations research may not be very objective guides. However, experienced systems researchers know that a detailed comparison of models, their assumptions and inputs, would generally show that results are not really contradictory. But not only seem the decision processes in large national and international organizations tobe suchthat a comparison can hardly ever be accomplished, also the docu mentation available is rarely sufficient to really camprehend the differences in results. For these reasons, we felt that an effort to review the state of the art of model ing in support of force capabil ity assessments was overdue.