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Programming for Peace

Overview of attention for book
Cover of 'Programming for Peace'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Conflict Resolution by Democracies and Dictatorships: Are Democracies Better in Resolving Conflicts?
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    Chapter 3 Programming for Peace
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    Chapter 4 Programming for Peace
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    Chapter 5 Country Indicators for Foreign Policy Developing an Indicators-Based User Friendly Risk Assessment and Early Warning Capability
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    Chapter 6 The Confman.2002 Data Set Developing Cases and Indices of Conflict Management to Predict Conflict Resolution
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    Chapter 7 Events, Patterns, and Analysis Forecasting International Conflict in the Twenty-First Century
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    Chapter 8 Forecasting Conflict in the Balkans using Hidden Markov Models
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    Chapter 9 Neural Computation for International Conflict Management
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    Chapter 10 Modeling International Negotiation Statistical and Machine Learning Approaches
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    Chapter 11 Machine Learning Methods for Better Understanding, Resolving, and Preventing International Conflicts
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    Chapter 12 New Methods for Conflict Data
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    Chapter 13 Information, Power, and War
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    Chapter 14 Modeling Effects of Emotion and Personality on Political Decision-Making
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    Chapter 15 Peacemaker 2020 A System for Global Conflict Analysis and Resolution; A Work of Fiction and A Research Challenge
Attention for Chapter 13: Information, Power, and War
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Citations

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Readers on

mendeley
21 Mendeley
Summary Dimensions citations
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Chapter title
Information, Power, and War
Chapter number 13
Book title
Programming for Peace
Published by
Springer, Dordrecht, January 2006
DOI 10.1007/1-4020-4390-2_13
Book ISBNs
978-1-4020-4377-2, 978-1-4020-4390-1
Authors

William Reed, Reed, William

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 5%
Unknown 20 95%
Readers by discipline Count As %
Linguistics 1 5%
Unknown 20 95%

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