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 language | English |
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| 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 https://alife.org/conference/alife-2019/ http://abmhub.braintree.com/ https://2019.alife.org/ |
Conference
| Conference | 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges |
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| Abbreviated title | ALIFE 2019 |
| Country/Territory | United Kingdom |
| City | Newcastle upon Tyne |
| Period | 29/07/19 → 2/08/19 |
| Internet address |