Publication:
Workflow analysis for self-Adaptive agent-based simulation model

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dc.citedby2
dc.contributor.authorLoo Y.L.en_US
dc.contributor.authorTang A.Y.C.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorid57188931634en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid57200530694en_US
dc.date.accessioned2023-05-29T06:39:31Z
dc.date.available2023-05-29T06:39:31Z
dc.date.issued2017
dc.descriptionModal analysis; Robotics; Case-studies; Document analysis; interview; Self-adaptive agents; Work-flows; Multi agent systemsen_US
dc.description.abstractIn real-life environment, 80% of business processes are dynamic whereby each process is dependent on individual conditions of execution and at the same time contains a large amount of parameters that makes them difficult to model. A self-Adaptive, agent-based simulation model for dynamic processes enables reduction of costs, resources and efforts in designing new models. This paper presents a workflow for modelling dynamic processes that consist of key parameters needed for the design and refinement of the simulation model, which are data collection and data analysis. Three dynamic processes are chosen as case studies; crime investigation, new student registration, and transportation requests processes. The workflow of each case study is analyzed using cross-case analysis, directed approach, and grounded theory. The findings showed similarity of key parameters shared by three dynamic processes and thus required to refine the self-Adaptive agent-based simulation model. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7809996
dc.identifier.doi10.1109/ISAMSR.2016.7809996
dc.identifier.epage21
dc.identifier.scopus2-s2.0-85015093432
dc.identifier.spage16
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015093432&doi=10.1109%2fISAMSR.2016.7809996&partnerID=40&md5=6960c97ad8c27c3703777b8de2b37e8e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23327
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
dc.titleWorkflow analysis for self-Adaptive agent-based simulation modelen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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