Workflow analysis for self-Adaptive agent-based simulation model
Modal analysis; Robotics; Case-studies; Document analysis; interview; Self-adaptive agents; Work-flows; Multi agent systems
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833350100310556672 |
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| author | Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. |
| author2 | 57188931634 |
| author_facet | 57188931634 Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. |
| author_sort | Loo Y.L. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Modal analysis; Robotics; Case-studies; Document analysis; interview; Self-adaptive agents; Work-flows; Multi agent systems |
| format | Conference Paper |
| id | my.uniten.dspace-23327 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-233272023-05-29T14:39:31Z Workflow analysis for self-Adaptive agent-based simulation model Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. 57188931634 36806985400 55390963300 57200530694 Modal analysis; Robotics; Case-studies; Document analysis; interview; Self-adaptive agents; Work-flows; Multi agent systems In 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. Final 2023-05-29T06:39:31Z 2023-05-29T06:39:31Z 2017 Conference Paper 10.1109/ISAMSR.2016.7809996 2-s2.0-85015093432 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015093432&doi=10.1109%2fISAMSR.2016.7809996&partnerID=40&md5=6960c97ad8c27c3703777b8de2b37e8e https://irepository.uniten.edu.my/handle/123456789/23327 7809996 16 21 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. Workflow analysis for self-Adaptive agent-based simulation model |
| title | Workflow analysis for self-Adaptive agent-based simulation model |
| title_full | Workflow analysis for self-Adaptive agent-based simulation model |
| title_fullStr | Workflow analysis for self-Adaptive agent-based simulation model |
| title_full_unstemmed | Workflow analysis for self-Adaptive agent-based simulation model |
| title_short | Workflow analysis for self-Adaptive agent-based simulation model |
| title_sort | workflow analysis for self-adaptive agent-based simulation model |
| url_provider | http://dspace.uniten.edu.my/ |