Skip to main content

Modelling Norms

  • Chapter
  • First Online:
Modelling Norms

Abstract

This chapter reflects on the models introduced so far in the book. It explores problems and missing elements in the study of social norms, arguing that agent-based modelling has so far left out important aspects of social norms. This chapter functions as the conceptual base for the following three chapters that introduce models implementing some of the missing features.

The most beautiful as well as the most ugly inclinations of man are not part of a fixed biologically given human nature, but result from the social process which creates man. Erich Fromm

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This chapter is partly based on collaborative work with Maria Xenitidou and uses parts of our publications Xenitidou and Elsenbroich (2010) and Elsenbroich and Xenitidou (2012).

References

  • Andrighetto, G., & Campenni, M. (2007). On the immergence of norms: A normative agent architecture. In AAAI Symposium, Social and organizational aspects of intelligence, Washington, DC.

    Google Scholar 

  • Axelrod, R. (1997). The complexity of cooperation: Agent-based models of competition and collaboration. Princeton: Princeton University Press.

    Google Scholar 

  • Conte, R., Andrighetto, G., & Campenni, M. (2013). Minding norms: Mechanisms and dynamics of social order in agent societies. Oxford: Oxford University Press.

    Google Scholar 

  • Edmonds, B. (2004). How formal logic can fail to be useful for modelling or designing MAS. In Regulated agent-based social systems (Lecture notes in artificial intelligence, vol. 2934, pp. 1–15) Berlin: Springer.

    Google Scholar 

  • Edmonds, B., & Moss, S. (2005). From KISS to KIDS – an ‘anti-simplistic’ modelling approach. In P. Davidsson et al. (Eds.), Multi agent based simulation 2004 (Lecture notes in artificial intelligence, vol. 3415, pp. 130–144). Berlin: Springer.

    Google Scholar 

  • Elsenbroich, C., & Xenitidou, M. (2012). Three kinds of normative behaviour: Minimal requirements for feedback models. Computional and Mathematical Organization Theory, 18(1), 113–127.

    Article  Google Scholar 

  • Epstein, J. (2000). Learning to be thoughtless: Social norms and individual computing. Technical report, Center on Social and Economic Dynamics Working Paper, No. 6.

    Google Scholar 

  • Epstein, J. M., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Flentge, F., Polani, D., & Uthmann, T. (2001). Modelling the emergence of possession norms using memes. Journal of Artificial Societies and Social Simulation, 4(4), 3. http://jasss.soc.surrey.ac.uk/4/4/3.html.

  • Gatherer, D. (2002). Identifying cases of social contagion using memetic isolation: Comparison of the dynamics of a multisociety simulation with an ethnographic data set. Journal of Artificial Societies and Social Simulation, 5(4), 5.

    Google Scholar 

  • Lorscheid, I., & Troitzsch, K. G. (2009). How do agents learn to behave normatively? Machine learning concepts for norm learning in the emil project. In B. Edmonds & N. Gilbert (Eds.), Proceedings of the sixth conference of ESSA. Guildford, UK: University of Surrey.

    Google Scholar 

  • Lotzmann, U. (2010). Enhancing agents with normative capabilities. In A. Bargiela, S. A. Ali, D. Crowley, & E. J. Kerckhoffs (Eds.), Proceedings of the 24th European conference on modelling and simulation, Kuala Lumpur.

    Google Scholar 

  • Shilling, C., & Mellor P. A. (1998). Durkheim, morality and modernity: Collective effervescence, homo duplex and the source of moral action. The British Journal of Sociology, 49(2), 193–209.

    Article  Google Scholar 

  • van Baal, P. (2004). Computer simulations of criminal deterrence. Australia: Annandale, The Federation Press.

    Google Scholar 

  • Verhagen, H. (2001). Simulation of the learning of norms. Social Science Computer Review, 19(3), 296–306.

    Article  Google Scholar 

  • Xenitidou, M., & Elsenbroich, C. (2010). Construct validity of agent-based simulation of normative behaviour. The International Journal of Interdisciplinary Social Sciences, 5(4), 67–80.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Elsenbroich, C., Gilbert, N. (2014). Modelling Norms. In: Modelling Norms. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7052-2_10

Download citation

Publish with us

Policies and ethics