Computing norm's benefit awareness via norm adoption ratio and norm morality
One of the issues of norm adoption is identifying which norms fit a visitor agent. The agent, equipped with a norm detection algorithm, detects the norms that are practiced by local agents. The agent usually detects the strong norms and ignore the weak ones. However, we propose a novel concept of no...
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my.uniten.dspace-5672018-01-25T01:17:16Z Computing norm's benefit awareness via norm adoption ratio and norm morality Itaiwi, A.-M.K. Ahmad, M.S. Tang, A.Y.C. Mahmoud, M.A. Public transportation Statistics Multi-agent systems One of the issues of norm adoption is identifying which norms fit a visitor agent. The agent, equipped with a norm detection algorithm, detects the norms that are practiced by local agents. The agent usually detects the strong norms and ignore the weak ones. However, we propose a novel concept of norm adoption by computing the norms benefits for the agent. To increase its utility, the agent adopts the norms that return considerable benefits to itself. It does this by computing the factors that constitute its awareness of the norms' benefits. Previously, we identified Norm Adoption Ratio, Norm Morality, Norm Yield and Norm Trust as these factors. In this paper, we compute the first two factors which are Norm Adoption Ratio and Norm Morality. We employ a Norm Strength formula to compute the Norm Adoption Ratio and propose a new architecture to compute the Norm Morality. © 2015 IEEE. 2017-07-27T23:52:02Z 2017-07-27T23:52:02Z 2016 Conference Proceeding http://dspace.uniten.edu.my:80/jspui/handle/123456789/567 10.1109/ISAMSR.2015.7379783 en |
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Public transportation Statistics Multi-agent systems Itaiwi, A.-M.K. Ahmad, M.S. Tang, A.Y.C. Mahmoud, M.A. Computing norm's benefit awareness via norm adoption ratio and norm morality |
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One of the issues of norm adoption is identifying which norms fit a visitor agent. The agent, equipped with a norm detection algorithm, detects the norms that are practiced by local agents. The agent usually detects the strong norms and ignore the weak ones. However, we propose a novel concept of norm adoption by computing the norms benefits for the agent. To increase its utility, the agent adopts the norms that return considerable benefits to itself. It does this by computing the factors that constitute its awareness of the norms' benefits. Previously, we identified Norm Adoption Ratio, Norm Morality, Norm Yield and Norm Trust as these factors. In this paper, we compute the first two factors which are Norm Adoption Ratio and Norm Morality. We employ a Norm Strength formula to compute the Norm Adoption Ratio and propose a new architecture to compute the Norm Morality. © 2015 IEEE. |
format |
Conference Proceeding |
author |
Itaiwi, A.-M.K. Ahmad, M.S. Tang, A.Y.C. Mahmoud, M.A. |
author_facet |
Itaiwi, A.-M.K. Ahmad, M.S. Tang, A.Y.C. Mahmoud, M.A. |
author_sort |
Itaiwi, A.-M.K. |
title |
Computing norm's benefit awareness via norm adoption ratio and norm morality |
title_short |
Computing norm's benefit awareness via norm adoption ratio and norm morality |
title_full |
Computing norm's benefit awareness via norm adoption ratio and norm morality |
title_fullStr |
Computing norm's benefit awareness via norm adoption ratio and norm morality |
title_full_unstemmed |
Computing norm's benefit awareness via norm adoption ratio and norm morality |
title_sort |
computing norm's benefit awareness via norm adoption ratio and norm morality |
publishDate |
2017 |
url |
http://dspace.uniten.edu.my:80/jspui/handle/123456789/567 |
_version_ |
1644492281935298560 |
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13.222552 |