Modelling Cooperation in a Dynamic Healthcare System

09/06/2019 ∙ by Zainab Alalawi, et al. ∙ Teesside University 0

Our research is concerned with studying behavioural changes within a dynamic system, i.e. health care, and their effects on the decision-making process. Evolutionary Game theory is applied to investigate the most probable strategy(ies) adopted by individuals in a finite population based on the interactions among them with an eye to modelling behaviour using the following metrics: cost of investment, cost of management, cost of treatment, reputation benefit for the provider(s), and the gained health benefit for the patient.



There are no comments yet.


page 2

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.


  • Adami et al. (2016) Adami, C., Schossau, J., and Hintze, A. (2016). Evolutionary game theory using agent-based methods. Physics of life reviews, 19:1–26.
  • Alalawi et al. (2019) Alalawi, Z., Han, T. A., and Zeng, Yifeng; Elragig, A. (2019). Pathways to good healthcare services and patient satisfaction: An evolutionary game theoretical approach. In Proceedings of the Artificial Life Conference 2019 (ALIFE 2019)”. MIT Press.
  • Bryden and Storey (2011) Bryden, D. and Storey, I. (2011). Duty of care and medical negligence. Continuing Education in Anaesthesia Critical Care & Pain, 11(4):124–127.
  • Nowak (2006) Nowak, M. (2006). Evolutionary Dynamics: Exploring the Equations of Life. Harvard University Press.
  • Sigmund et al. (2010) Sigmund, K., De Silva, H., Traulsen, A., and Hauert, C. (2010). Social learning promotes institutions for governing the commons. Nature, 466(7308):861.
  • Slawson (2018) Slawson, S. (2018). NHS compensation payouts ‘unsustainable’, say health leaders. The Guardian.
  • Traulsen et al. (2007) Traulsen, A., Pacheco, J. M., and Nowak, M. A. (2007). Pairwise comparison and selection temperature in evolutionary game dynamics. Journal of Theoretical Biology, 246(3):522–529.