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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/364E4F7D-BAC1-41DA-A60C-8EFED7A8C7A0 | - |
| Identifier | http://users.isc.tuc.gr/~nispanoudakis/resources/eumas10DeliasSpanoudakis.pdf | - |
| Language | en | - |
| Title | Simulating multi-agent system sesigns using business process modeling | en |
| Creator | Delias Pavlos | en |
| Creator | Δελιας Παυλος | el |
| Creator | Spanoudakis Nikolaos I. | en |
| Creator | Σπανουδάκης Νικόλαος Ι. | el |
| Content Summary | This paper shows how an engineer can use Gaia formulas for modeling the dynamic behavior of an agent role and then transform the formulas to a process model compliant to the modern Business Process Modeling Notation (BPMN). The Agent Systems Engineering Methodology (ASEME) employs this text to model (T2M) transformation for being able to simulate the system models even after just the analysis phase. A number of tools allow for simulating process models, even optimizing them. Thus, a number of the system’s (non-functional) requirements can be evaluated before even entering the design phase. This helps an engineer to build a better system capturing its requirements but also a project manager to select the appropriate resources for his project’s development based on the performance of the technologies proposed in an analysis phase iteration. Our work is demonstrated and evaluated through a real world case study. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-14 | - |
| Date of Publication | 2010 | - |
| Subject | Manufacturing engineering | en |
| Subject | Process engineering | en |
| Subject | production engineering | en |
| Subject | manufacturing engineering | en |
| Subject | process engineering | en |
| Bibliographic Citation | P. Delias and N. Spanoudakis, "Simulating Multi-agent System Designs Using Business Process Modeling", in Proceedings of the 8th European Workshop on Multi-Agent Systems, 16-17 December 2010. | en |
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