A computational model of a norm's yield

Al Mutazbellah Khamees Itaiwi, Mohd Sharifuddin Ahmad, Yee Chong Tang, Moamin A. Mahmoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While several works have been conducted on norms detection and identification, almost non-existent work has explored the notion of norm's yield to trigger agents to adopt new norms. In other words, in most of the literature on norms, agents are not aware of the 'yield' or gain from the enacted norms. Instead, they use some mining algorithms to identify the norms from a set of observed events and subsequently adopting the norms without further analysis. Consequently, it would be interesting to look into agents that can deal with norm's yield. In this paper, we propose a computational model of a norm's yield. When an agent could measure a norm's yield, it would have greater reasoning ability about the norm's effects on its performance, which in turn trigger the agent to adopt or reject the norm.

Original languageEnglish
Title of host publication2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-127
Number of pages4
ISBN (Electronic)9781509051502
DOIs
Publication statusPublished - 06 Jan 2017
Event2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016 - Bangi, Malaysia
Duration: 23 Aug 201624 Aug 2016

Publication series

Name2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016

Other

Other2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
CountryMalaysia
CityBangi
Period23/08/1624/08/16

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Itaiwi, A. M. K., Ahmad, M. S., Tang, Y. C., & A. Mahmoud, M. (2017). A computational model of a norm's yield. In 2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016 (pp. 124-127). [7810014] (2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAMSR.2016.7810014