0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (3)
  • -
Status
Brand

Showing 1 - 3 of 3 matches in All Departments

Identifying the Complex Causes of Civil War - A Machine Learning Approach (Hardcover, 1st ed. 2021): Atin Basuchoudhary, James... Identifying the Complex Causes of Civil War - A Machine Learning Approach (Hardcover, 1st ed. 2021)
Atin Basuchoudhary, James T. Bang, John David, Tinni Sen
R1,747 Discovery Miles 17 470 Ships in 10 - 15 working days

This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships between the most important variables that cause civil conflict. Success in this realm will lead to scientific theories of conflict that will be useful in preventing and ending civil conflict. After setting out a current review of the literature and a case for using machine learning to analyze and predict civil conflict, the authors lay out the data set, important variables, and investigative strategy of their methodology. The authors then investigate institutional causes, economic causes, and sociological causes for civil conflict, and how that feeds into their model. The methodology provides an identifiable pathway for specifying causal models. This book will be of interest to scholars in the areas of economics, political science, sociology, and artificial intelligence who want to learn more about leveraging machine learning technologies to solve problems and who are invested in preventing civil conflict.

Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017): Atin... Machine-learning Techniques in Economics - New Tools for Predicting Economic Growth (Paperback, 1st ed. 2017)
Atin Basuchoudhary, James T. Bang, Tinni Sen
R1,890 Discovery Miles 18 900 Ships in 10 - 15 working days

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.

Predicting Hotspots - Using Machine Learning to Understand Civil Conflict (Hardcover): Atin Basuchoudhary, James T. Bang, Tinni... Predicting Hotspots - Using Machine Learning to Understand Civil Conflict (Hardcover)
Atin Basuchoudhary, James T. Bang, Tinni Sen, John David
R2,394 Discovery Miles 23 940 Ships in 12 - 19 working days

This book should be useful to anyone interested in identifying the causes of civil conflict and doing something to end it. It even suggests a pathway for the lay reader. Civil conflict is a persistent source of misery to humankind. Its study, however, lacks a comprehensive theory of its causes. Nevertheless, the question of cooperation or conflict is at the heart of political economy. This book introduces Machine Learning to explore whether there even is a unified theory of conflict, and if there is, whether it is a 'good' one. A good theory is one that not only identifies the causes of conflict, but also identifies those causes that predict conflict. Machine learning algorithms use out of sample techniques to choose between competing hypotheses about the sources of conflict according to their predictive accuracy. This theoretically agnostic 'picking' has the added benefit of offering some protection against many of the problems noted in the current literature; the tangled causality between conflict and its correlates, the relative rarity of civil conflict at a global level, missing data, and spectacular statistical assumptions. This book argues that the search for a unified theory of conflict must begin among these more predictive sources of civil conflict. In fact, in the book, there is a clear sense that game theoretic rational choice models of bargaining/commitment failure predict conflict better than any other approach. In addition, the algorithms highlight the fact that conflict is path dependent - it tends to continue once started. This is intuitive in many ways but is roundly ignored as a matter of science. It should not. Further, those causes of conflict that best predict conflict can be used as policy levers to end or prevent conflict. This book should therefore be of interest to military and civil leaders engaged in ending civil conflict. Last, though not least, the book highlights how the sources of conflict affect conflict. This additional insight may allow the crafting of policies that match a country's specific circumstance.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Pritt Glue Sticks (43g)(Display of 24)
R1,604 Discovery Miles 16 040
The Bourne Ultimatum
Matt Damon, Julia Stiles, … DVD R57 Discovery Miles 570
Dala Lino Carving & Printing Kit
R602 Discovery Miles 6 020
By Way Of Deception
Amir Tsarfati, Steve Yohn Paperback  (1)
R250 R230 Discovery Miles 2 300
David Beckham Intimately Beckham Eau De…
R569 Discovery Miles 5 690
Loot
Nadine Gordimer Paperback  (2)
R391 R362 Discovery Miles 3 620
This Is Why
Paramore CD R417 Discovery Miles 4 170
Vital BabyŽ Nurture Microwave…
R167 R130 Discovery Miles 1 300
Elecstor 18W In-Line UPS (Black)
R999 R698 Discovery Miles 6 980
Piver Pompeia Cologne Splash (421ml…
R1,172 R824 Discovery Miles 8 240

 

Partners