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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Modeling
Health care system
Costs
Healthcare
Decision-making process
Interaction
Cost management
Health benefits
Dynamic systems
Behavioural change
Evolutionary game theory

Cite this

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.
Alalawi, Zainab ; Zeng, Yifeng ; Han, The Anh ; Elragig, Aiman. / Modelling Cooperation in a Dynamic Healthcare System. Abstract from The 2019 Conference on Artificial Life, Newcastle, United Kingdom.
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title = "Modelling Cooperation in a Dynamic Healthcare System",
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.",
author = "Zainab Alalawi and Yifeng Zeng and Han, {The Anh} and Aiman Elragig",
year = "2019",
month = "7",
day = "31",
language = "English",
note = "The 2019 Conference on Artificial Life : 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB), ALIFE 2019 ; Conference date: 29-07-2019 Through 02-08-2019",
url = "http://abmhub.braintree.com/, https://2019.alife.org/",

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Alalawi, Z, Zeng, Y, Han, TA & Elragig, A 2019, 'Modelling Cooperation in a Dynamic Healthcare System', The 2019 Conference on Artificial Life, Newcastle, United Kingdom, 29/07/19 - 2/08/19.

Modelling Cooperation in a Dynamic Healthcare System. / Alalawi, Zainab; Zeng, Yifeng; Han, The Anh; Elragig, Aiman.

2019. Abstract from The 2019 Conference on Artificial Life, Newcastle, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Modelling Cooperation in a Dynamic Healthcare System

AU - Alalawi, Zainab

AU - Zeng, Yifeng

AU - Han, The Anh

AU - Elragig, Aiman

PY - 2019/7/31

Y1 - 2019/7/31

N2 - 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.

AB - 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.

M3 - Abstract

ER -

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