Identificacion Principal del registro INGC-EBK-000643

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160831163944

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 131027s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783642391491

a Standard number or code 10.1007/978-3-642-39149-1

a Title Theories and Simulations of Complex Social Systems

h Medium [libro electrónico] /

c Statement of responsibility, etc edited by Vahid Dabbaghian, Vijay Kumar Mago.

a Place of publication, distribution, etc Berlin, Heidelberg :

b Name of publisher, distributor, etc Springer Berlin Heidelberg :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent x, 204 p. :

b Other physical details il.

a Series statement Intelligent Systems Reference Library,

x International Standard Serial Number 1868-4394 ;

v Volume number/sequential designation 52

a Formatted contents note Introducing Theories and Simulations of Complex Social Systems -- Creating Software for the Simulation of Complex Social Systems -- Modelling Epistemic Systems- Model the human behavior in space and time by mobile phone data -- Change Detection in Dynamic Political Networks: The Case of Sudan -- High-Level Simulation Model of a Criminal Justice System -- Celerity in the Courts: An Application of Fuzzy Logic to Model Case Complexity in the Criminal Justice System -- Understanding the Impact of Face Mask Usage through Epidemic Simulation of Large Social Networks -- e - Epidemic Models on the Attack and Defense of Malicious Objects in Networks -- Modelling the joint effect of social determinants and peers on obesity -- Youth Gang Formation: Basic instinct or something else? -- Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars.

a Summary, etc Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.    .

a Topical term or geographic name as entry element Statistical physics.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Topical term or geographic name as entry element Nonlinear Dynamics.

a Personal name Dabbaghian, Vahid,

e Relator term ed.

a Personal name Mago, Vijay Kumar,

e Relator term ed.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-642-39149-1

c item type EBK

a descripción COM