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A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework

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dc.contributor.authorLoo Y.L.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorid57321882600en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid37036085800en_US
dc.date.accessioned2023-05-29T09:05:59Z
dc.date.available2023-05-29T09:05:59Z
dc.date.issued2021
dc.descriptionAdaptive algorithms; Agent based simulation; Agent-based simulation framework; Different domains; Domain specific; Dynamic process; Dynamic process simulation; Self-adaptive; Simulation framework; Simulation model; Simulation platformen_US
dc.description.abstractTraditional simulation modelling of dynamic processes aimed at domain-specific simulation with specific simulation objectives. Studies of recent years uncovered drawbacks of domain-specific simulation models for dynamic processes which include unreliable simulation results and questionable robustness of simulation model. Generic agent-based simulation modelling frameworks tried to bridge the gap being a platform to simulate different domain-specific simulation models. However, the efforts were not continued, most probably due to the main gap of having domain-specific models developed for each specific simulation objectives were not addressed. Thus, the aim of this research to bridge the gap by having a self-adaptive simulation model. Dynamic processes from three different domains. For instance, transportation, education and security were used as benchmark of self-capability of the simulation model. Key parameters, self-adaptive algorithms were formulated and implemented through simulation model. The self-adaptive simulation model was able to construct simulation model and generate replicable results based on different combinations of key parameter inputs entered into the simulation system. This achievement opened the possibility of having a self-adaptive simulation modelling of dynamic processes for three different domains. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ISAMSR53229.2021.9567854
dc.identifier.epage129
dc.identifier.scopus2-s2.0-85118434856
dc.identifier.spage124
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118434856&doi=10.1109%2fISAMSR53229.2021.9567854&partnerID=40&md5=be899bcca5fe238d1c2fd9b0e64a750e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26001
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - ISAMSR 2021: 4th International Symposium on Agents, Multi-Agents Systems and Robotics
dc.titleA Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Frameworken_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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