Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
Autor: | Mohd Sharifuddin Ahmad, Moamin A. Mahmoud, Mohd Zaliman Mohd Yusoff |
---|---|
Rok vydání: | 2016 |
Předmět: |
Belief base
Process (engineering) Computer science 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Data mining algorithm Development (topology) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Normative Sanctions 020201 artificial intelligence & image processing Host (network) computer Information Systems |
Zdroj: | Journal of Systems Science and Complexity. 29:1519-1537 |
ISSN: | 1559-7067 1009-6124 |
DOI: | 10.1007/s11424-016-5036-1 |
Popis: | In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings. |
Databáze: | OpenAIRE |
Externí odkaz: |