1.

Record Nr.

UNISALENTO991001755089707536

Autore

Maximus : Confessor <santo>

Titolo

Maximi Confessoris Quaestiones ad Thalassium

Pubbl/distr/stampa

Turnhout : Brepols

Leuven : University press

ISBN

2503402216 (v. 2)

Descrizione fisica

v. ; 26 cm

Collana

Corpus Christianorum. Series Graeca ; 7, 22

Maximi Confessoris Opera

Altri autori (Persone)

Laga, Carl

Steel, Carlos

Ioannes : Scotus Erigena

Disciplina

230.14

Lingua di pubblicazione

Greco antico

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Testo greco con traduzione francese a fronte

Nota di bibliografia

Include bibliografia e indici

Nota di contenuto

1.: Quaestiones I-LV : una cum latina interpretatione Ioannis Scotti Eriugenae iuxta posita / ediderunt Carl Laga et Carlos Steel. - 1980. - CXVII, 555 p.

2.: Quaestiones LVI-LXV : una cum latina interpretatione Ioannis Scotti Eriugenae iuxta posita / ediderunt Carl Laga et Carlos Steel. - 1990. - LX, 362 p.



2.

Record Nr.

UNINA9910300564003321

Autore

Lemos Carlos M

Titolo

Agent-Based Modeling of Social Conflict : From Mechanisms to Complex Behavior / / by Carlos M. Lemos

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-67050-6

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XVII, 120 p. 75 illus., 27 illus. in color.)

Collana

Understanding Complex Systems, , 2191-5326

Disciplina

303.601

Soggetti

Social sciences—Data processing

Social sciences—Computer programs

Application software

Peace

Sociophysics

Econophysics

Computational Social Sciences

Computer Appl. in Social and Behavioral Sciences

Conflict Studies

Data-driven Science, Modeling and Theory Building

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Theoretical Foundations -- Review of ABM of Social Conflict & Violence -- Analysis of Conflict Datasets & Indicators -- Agent-Based Model of Social Conflict -- Conclusions -- Future Work.

Sommario/riassunto

This Brief revisits and extends Epstein’s 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 Epstein’s 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 model’s strengths and limitations. The contributions of the present work for understanding how mechanisms of large scale conflict lead to complex behavior 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.