The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game
Social dilemmas describe conflict situations between immediate self-interest and longer-term collective interests. In these situations, it is better that all players work together to attain a common goal, but individuals may threaten the best payoff of the group by free-riding. Human behavi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2022-01-01
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| Series: | International Journal of Industrial Engineering Computations |
| Online Access: | http://www.growingscience.com/ijiec/Vol13/IJIEC_2022_8.pdf |
| _version_ | 1811302303900106752 |
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| author | Parinaz Esmaeili Ahmad Makui Seyed Mohammad Seyedhosseini Rouzbeh Ghousi |
| author_facet | Parinaz Esmaeili Ahmad Makui Seyed Mohammad Seyedhosseini Rouzbeh Ghousi |
| author_sort | Parinaz Esmaeili |
| collection | DOAJ |
| description | Social dilemmas describe conflict situations between immediate self-interest and longer-term collective interests. In these situations, it is better that all players work together to attain a common goal, but individuals may threaten the best payoff of the group by free-riding. Human behavior in a pandemic is one example of a social dilemma but wait-and-see games and relying on herd immunity to get a free ride generates a threat of continuing the pandemic. This study aims to use probabilistic incentives given by a third party as a mechanism to inhibit free-riding behavior by promoting cooperation in the volunteer dilemma game. For more realistic human behavior simulation, we use an agent-based model of network topology. When the parameters of the problem change gradually, an abrupt jump in the cooperation rate may happen and lead to a significant shift in the outcome. Catastrophe theory is a valuable approach to survey these nonlinear changes. This study tries to give some managerial insights to the decision-makers to find the minimum level of necessary effort in which the cooperation dominates the defection. |
| first_indexed | 2024-04-13T07:26:58Z |
| format | Article |
| id | doaj.art-67869b79ab1e4139aabcdf136fb4bb01 |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-04-13T07:26:58Z |
| publishDate | 2022-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-67869b79ab1e4139aabcdf136fb4bb012022-12-22T02:56:28ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342022-01-0113331932810.5267/j.ijiec.2022.3.001The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary gameParinaz EsmaeiliAhmad MakuiSeyed Mohammad SeyedhosseiniRouzbeh Ghousi Social dilemmas describe conflict situations between immediate self-interest and longer-term collective interests. In these situations, it is better that all players work together to attain a common goal, but individuals may threaten the best payoff of the group by free-riding. Human behavior in a pandemic is one example of a social dilemma but wait-and-see games and relying on herd immunity to get a free ride generates a threat of continuing the pandemic. This study aims to use probabilistic incentives given by a third party as a mechanism to inhibit free-riding behavior by promoting cooperation in the volunteer dilemma game. For more realistic human behavior simulation, we use an agent-based model of network topology. When the parameters of the problem change gradually, an abrupt jump in the cooperation rate may happen and lead to a significant shift in the outcome. Catastrophe theory is a valuable approach to survey these nonlinear changes. This study tries to give some managerial insights to the decision-makers to find the minimum level of necessary effort in which the cooperation dominates the defection.http://www.growingscience.com/ijiec/Vol13/IJIEC_2022_8.pdf |
| spellingShingle | Parinaz Esmaeili Ahmad Makui Seyed Mohammad Seyedhosseini Rouzbeh Ghousi The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game International Journal of Industrial Engineering Computations |
| title | The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game |
| title_full | The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game |
| title_fullStr | The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game |
| title_full_unstemmed | The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game |
| title_short | The effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi-agent evolutionary game |
| title_sort | effect of probabilistic incentives to promote cooperation during the pandemics using simulation of multi agent evolutionary game |
| url | http://www.growingscience.com/ijiec/Vol13/IJIEC_2022_8.pdf |
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