Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Computer Simulations

Dados Bibliográficos

ID23482138
AutoresDANIEL BIRKS (0000-0003-3055-7398, autor correspondente)
EditoresGerben J N Bruinsma, Shane D Johnson (0000-0002-0184-9896)
Ano2018
Data de publicação2018-02-05
Open AccessNão
TipoBOOK
PeriódicoOxford Handbook of Environmental Criminology (SOURCE_BOOK)
EditoraOxford University Press (PUBLISHER • GB)
DOI10.1093/oxfordhb/9780190279707.013.36
OpenAlexW4253071831
ISBN9780190279707
IdiomaEN

In recent years, the field of social simulation has been dominated by the individual, or agent-based, computational model (ABM). ABMs provide unique means to explore complex social systems by allowing researchers to construct explicit models of the individual actors and interactions that make them up - people, peer groups, companies, nations, trade, reproduction, victimization, and so on, This chapter aims to provide the reader with a primer in the social simulation method and in particular the application of ABM in the field of environmental criminology. It begins by discussing the rationale behind the ABM approach. Subsequently, drawing on two illustrative simulations, it summarizes fundamental processes involved in designing, constructing, verifying, calibrating, validating, and utilizing ABM. It concludes by discussing some of the overarching strengths and limitations of the approach, and by discussing several areas of research that might aid in furthering the use of ABM within the field of environmental criminology.

Construct (python library) · Data science · Engineering ethics · Field (mathematics) · Management science · Sociology · Computer Science · Crime Patterns and Interventions · Engineering · Evolutionary Game Theory and Cooperation

Altamente citadoNão
Abrir DOISci-Hub
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae