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.
|Publication status||Published - 31 Jul 2019|
|Event||2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges: 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB) - Newcastle University, Newcastle upon Tyne, United Kingdom|
Duration: 29 Jul 2019 → 2 Aug 2019
|Conference||2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges|
|Abbreviated title||ALIFE 2019|
|City||Newcastle upon Tyne|
|Period||29/07/19 → 2/08/19|