Carlos M. Lemos Agent-Based Modeling of Social Conflict 9783319670492

Варианты приобретения

Цена: 7685.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Carlos M. Lemos
Название: Agent-Based Modeling of Social Conflict
ISBN: 9783319670492
Издательство: Springer
Классификация:

Изучение процессов поддержания мира и разрешения конфликтов

Общество и общественные науки

Общество и культура: общие вопросы

Социальные исследования и статистика

ISBN-10: 3319670492
Обложка/Формат: Paperback
Страницы: 120
Вес: 0.20 кг.
Дата издания: 03.11.2017
Серия: SpringerBriefs in Complexity
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 40 tables, color; 27 illustrations, color; 48 illustrations, black and white; viii, 132 p. 75 illus., 27 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: Tertiary education (us: college)
Основная тема: Social Sciences
Подзаголовок: From Mechanisms to Complex Behavior
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This Brief revisits and extends Epsteins classical agent-based model of civil violence by considering important mechanisms suggested by social conflict theories. Among them are: relative deprivation as generator of hardship, generalized vanishing of the risk perception (massive fear loss) when the uprisings surpass a certain threshold, endogenous legitimacy feedback, and network influence effects represented by the mechanism of dispositional contagion. The model is explored in a set of computer experiments designed to provide insight on how mechanisms lead to increased complexity of the solutions. The results of the simulations are compared with statistical analyses of estimated size, duration and recurrence of large demonstrations and riots for eight African countries affected by the Arab Spring, based on the Social Conflict Analysis Database.
It is shown that the extensions to Epsteins model proposed herein lead to increased generative capacity of the agent-based model (i.e. a richer set of meaningful qualitative behaviors) as well the identification of key mechanisms and associated parameters with tipping points. The use of quantitative information (international indicators and statistical analyses of conflict events) allows the assessment of the plausibility of input parameter values and simulated results, and thus a better understanding of the models strengths and limitations.
The contributions of the present work for understanding how mechanisms of large scale conflict lead to complexbehavior include a new form of the estimated arrest probability, a simple representation of political vs economic deprivation with a parameter which controls the sensitivity to value, endogenous legitimacy feedback, and the effect of network influences (due to small groups and activists). In addition, the analysis of the Social Conflict Analysis Database provided a quantitative description of the impact of the Arab Spring in several countries focused on complexity issues such as peaceful vs violent, spontaneous vs organized, and patterns of size, duration and recurrence of conflict events in this recent and important large-scale conflict process. This book will appeal to students and researchers working in these computational social science subfields.

Agent-Based Modeling of Social Conflict, Carlos M. Lemos