dc.contributor.author | Abdelaziz, Tawfig | |
dc.contributor.author | Elmarzaki, Howayda | |
dc.contributor.author | Elakeili, Salwa | |
dc.contributor.author | Maatuk, Abdelsalam | |
dc.date.accessioned | 2022-10-24T09:42:19Z | |
dc.date.available | 2022-10-24T09:42:19Z | |
dc.date.issued | 2022-05-23 | |
dc.identifier.uri | 10.1109/MI-STA54861.2022.9837725 | |
dc.identifier.uri | http://repository.limu.edu.ly/handle/123456789/4543 | |
dc.description.abstract | Making a design decision in architecture design (AD) is challenging, especially when the system has many components and interactions. The complication is evident in the design phase of agents-based systems that are assigned various responsibilities, according to most works of literature. The study's purpose is to assist system designers in developing effective architectures for agents systems that are not complicated and easy to understand. Complex Task Measurement is a novel estimation of entanglement between agents' tasks presented in this paper (CTM). This method is built on the use-case point perspective, however with several adjustments to meet the demands of agents. Before making a design decision, this innovative measurement can be utilized to estimate the architecture design. The findings will be put to use in a variety of situations. As a case study, the research will be applied to the book recommendations system, and the results will be presented after the method has been implemented. | en_US |
dc.description.sponsorship | Libyan International Medical University | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | ;21928096 | |
dc.title | A Novel Method for Estimate the Structure Design Complication of Multi-Agents Based Systems | en_US |
dc.type | Article | en_US |