Modelling Cooperation in a Dynamic Healthcare System
Zainab Alalawi, Yifeng Zeng, The Anh Han, Aiman Elragig
TL;DR
This paper uses evolutionary game theory to model how individuals in a dynamic healthcare system adapt their strategies based on costs and benefits, influencing decision-making and cooperation.
Contribution
It introduces a novel application of evolutionary game theory to model behavioral changes and cooperation in a finite, dynamic healthcare environment.
Findings
Identification of key strategies influencing cooperation
Analysis of costs and benefits affecting decision-making
Insights into behavioral dynamics in healthcare systems
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.
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Complex Systems and Decision Making