Modelling Cooperation in a Dynamic Healthcare System

Zainab Alalawi, Yifeng Zeng, The Anh Han, Aiman Elragig

Research output: Contribution to conferenceAbstract

Abstract

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.
Original languageEnglish
Publication statusPublished - 31 Jul 2019
EventThe 2019 Conference on Artificial Life: 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB) - Newcastle University, Newcastle, United Kingdom
Duration: 29 Jul 20192 Aug 2019
http://abmhub.braintree.com/
https://2019.alife.org/

Conference

ConferenceThe 2019 Conference on Artificial Life
Abbreviated titleALIFE 2019
CountryUnited Kingdom
CityNewcastle
Period29/07/192/08/19
Internet address

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    Alalawi, Z., Zeng, Y., Han, T. A., & Elragig, A. (2019). Modelling Cooperation in a Dynamic Healthcare System. Abstract from The 2019 Conference on Artificial Life, Newcastle, United Kingdom.