Skip to main content

Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model

  • Conference paper
Artificial Life: Borrowing from Biology (ACAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5865))

Included in the following conference series:

  • 716 Accesses

Abstract

Societal behaviour can be studied at a causal level by perturbing a stable multi-agent model with new microscopic behaviours and observing the statistical response over an ensemble of simulated model systems. We report on the effects of introducing criminal and law-enforcing behaviours into a large scale animat agent model and describe the complex spatial agent patterns and population changes that result. Our well-established predator-prey substrate model provides a background framework against which these new microscopic behaviours can be trialled and investigated. We describe some quantitative results and some surprising conclusions concerning the overall societal health when individually anti-social behaviour is introduced.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bartol, C.R.: Criminal Behaviour: A Psychosocial Approach, 6th edn. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  2. Brantingham, P.L., Brantingham, P.J.: Computer simulation as a tool for environmental criminologists. Security Journal 17, 21–30 (2004)

    Article  Google Scholar 

  3. Furtado, V., Melo, A., Menezes, R., Belchior, M.: Using self-organization in an agent framework to model criminal activity in response to police patrol routes. In: Proc. FLAIRS Conference, pp. 68–73 (2006)

    Google Scholar 

  4. Furtado, V., Melo, A., Coelho, A., Menezes, R.: A crime simulation model based on social networks and swarm intelligence. In: Proc. 2007 ACM symposium on Applied computing, pp. 56–57 (2007)

    Google Scholar 

  5. Bosse, T., Gerritsen, C., Treur, J.: Cognitive and social simulation of criminal behaviour: the intermittent explosive disorder case. In: Proc. 6th International Joint Conference on Autonomous Agents and Multiagent Systems, Honolulu, Hawaii, pp. 1–8 (2007)

    Google Scholar 

  6. Guye-Vuilleme, A., Thalmann, D.: A high-level architecture for believable social agents. Virtual Reality 5(2), 95–106 (2000)

    Article  Google Scholar 

  7. Kats, Y.: Intelligent software design: Challenges and solutions. In: Proc. EEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp. 468–471 (September 2003)

    Google Scholar 

  8. Adami, C.: On modeling life. In: Brooks, R., Maes, P. (eds.) Proc. Artificial Life IV, pp. 269–274. MIT Press, Cambridge (1994)

    Google Scholar 

  9. Holland, J.H.: Echoing emergence: Objectives, rough definitions, and speculations for echo-class models. In: Cowan, G.A., Pines, D., Meltzer, D. (eds.) Complexity: Metaphors, Models and Reality, pp. 309–342. Addison-Wesley, Reading (1994)

    Google Scholar 

  10. Tyrrell, T., Mayhew, J.E.W.: Computer simulation of an animal environment. In: Meyer, J.A., Wilson, S.W. (eds.) From Animals to Animats: Proc. the First International Conference on Simulation of Adaptive Behavior, pp. 263–272. MIT Press, Cambridge (1991)

    Google Scholar 

  11. Wilson, S.W.: The animat path to AI. In: Meyer, J.A., Wilson, S.W. (eds.) From Animals to Animats: Proc. the First International Conference on Simulation of Adaptive Behavior, pp. 15–21. MIT Press, Cambridge (1991)

    Google Scholar 

  12. Hawick, K.A., James, H.A., Scogings, C.J.: Roles of rule-priority evolution in animat models. In: Proc. Second Australian Conference on Artificial Life (ACAL 2005), Sydney, Australia, pp. 99–116 (December 2005)

    Google Scholar 

  13. Scogings, C.J., Hawick, K.A.: Intelligent and adaptive animat resource trading. In: Proc. 2009 International Conference on Artificial Intelligence (ICAI 2009) Las Vegas, USA, July 13-16 (2009)

    Google Scholar 

  14. Hawick, K.A., Scogings, C.J.: Spatial pattern growth and emergent animat segregation. Technical Report CSTN-078, Massey University (February 2009)

    Google Scholar 

  15. Scogings, C.J., Hawick, K.A., James, H.A.: Tuning growth stability in an animat agent model. In: Proc. the 16th IASTED International Conference in Applied Simulation and Modelling (ASM 2007), August 29-31, pp. 312–317 (2007)

    Google Scholar 

  16. Scogings, C.J., Hawick, K.A.: Global constraints and diffusion in a localised animat agent model. In: Proc. IASTED International Conference on Applied Simulation and Modelling, Corfu, Greece, June 23-25, pp. 14–19 (2008)

    Google Scholar 

  17. Lotka, A.J.: Elements of Physical Biology. Williams and Wilkins, Baltimore (1925)

    Google Scholar 

  18. Volterra, V.: Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. Mem. R. Accad. Naz. dei Lincei, Ser. VI 2 (1926)

    Google Scholar 

  19. Gallego, S.: Modelling Population Dynamics of Elephants. PhD thesis, Life and Environmental Sciences, University of Natal, Durban, South Africa (June 2003)

    Google Scholar 

  20. James, H.A., Scogings, C.J., Hawick, K.A.: Parallel synchronization issues in simulating artifical life. In: Gonzalez, T. (ed.) Proc. 16th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), Cambridge, MA, USA, pp. 815–820 (November 2004)

    Google Scholar 

  21. Hawick, K.A., Scogings, C.J., James, H.A.: Defensive spiral emergence in a predator-prey model. Complexity International (msid37), 1–10 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Scogings, C.J., Hawick, K.A. (2009). Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model. In: Korb, K., Randall, M., Hendtlass, T. (eds) Artificial Life: Borrowing from Biology. ACAL 2009. Lecture Notes in Computer Science(), vol 5865. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10427-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10427-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10426-8

  • Online ISBN: 978-3-642-10427-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics