Abstract
The influence of environmental factors on social norms is considered. Using the example of a scarce resource environment, the emergence of a possession norm is explored as is the function of such a norm for society. A criminological model that implements the theory of routine activity is described.
The presentations and conceptions of the average man of the world are formed and dominated, not by the full and pure desire for knowledge as an end in itself, but by the struggle to adapt himself favourably to the conditions of life. Ernst Mach
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Birks, D. J., Donkin, S., & Wellsmith, M. (2008). Synthesis over analysis: Towards an ontology for volume crime simulation. In L. Liu & J. Eck (Eds.), Artificial crime analysis systems: Using computer simulations and geographic information systems. Hershey: Idea Group Publishing.
Bosse, T., Elffers, H., & Gerritsen, C. (2010). Simulating the dynamical interaction of offenders, targets and guardians. Crime Patterns and Analysis, 3, 51–66.
Brantingham, P. J., & Tita, G. E. (2008). Offender mobility and crime pattern formation from first principles. In L. Liu & J. E. Eck (Eds.), Artificial crime analysis systems: Using computer simulations and geographic information systems. Hershey: Idea Group Publishing.
Castelfranchi, C., Conte, R., & Paolucci, M. (1998). Normative reputation and the cost of compliance. Journal of Artificial Societies and Social Simulation, 1(3), 3.
Conte, R., & Castelfranchi, C. (1995). Understanding the functions of norms in social groups through simulation. In N. Gilbert & R. Conte (Eds.), Artificial societies. The computer simulation of social life. London: UCL Press.
Dray, A., Mazerolle, L. G., Perez, P., & Ritter, A. (2008). Drug law enforcement in an agent-based model: Simulating the disruption. In L. Liu & J. E. Eck (Eds.), Artificial crime analysis systems: Using computer Simulations and geographic information systems. Hershey: Idea Group Publishing.
Epstein, J. M., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington, DC: Brookings Institution Press.
Groff, E. R. (2007). Simulation for theory testing and experimentation: An example using routine activity theory and street robbery. Journal of Quantitative Criminology, 23, 75–103.
Malleson, N. (2012). Using agent-based models to simulate crime. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems. Dordrecht/New York: Springer.
Merton, R. K. (1968). The matthew effect in science. Science, 159, 56–63.
Saam, N. J., & Harrer, A. (1999). Simulating norms, social inequality, and functional change in artificial societies. Journal of Artificial Societies and Social Simulation, 2(1), 2.
van Baal, P. H. M. (2004 dissertation). Computer simulations of criminal deterrence: From public policy to local interaction to individual behaviour. Rotterdam: Boom Juridische Uitgevers.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Elsenbroich, C., Gilbert, N. (2014). The Environment and Social Norms. In: Modelling Norms. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7052-2_5
Download citation
DOI: https://doi.org/10.1007/978-94-007-7052-2_5
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7051-5
Online ISBN: 978-94-007-7052-2
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)