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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mordecai, Y. Somekh, J. Dori, D. |
| Copyright Year | 2014 |
| Description | Author affiliation: Fac. of Ind. Eng. & Manage., Technion - Israel Inst. of Technol., Haifa, Israel (Mordecai, Y.; Somekh, J.) || Eng. Syst. Div., Massachusetts Inst. of Technol., Cambridge, MA, USA (Dori, D.) |
| Abstract | We propose a model-based systems engineering approach for representing and analyzing the perception and consideration of the presence of external entities by systems. This approach is inspired by the conceptual model-based systems biology paradigm we have previously proposed. The notion of presence and absence of surrounding objects, or occurrence of surrounding processes, is becoming ever more critical in a world of highly-aware automation agents and the increasingly complex and stochastic environmental configurations in which these agents act. This problem is well-known in the biological modeling domain. System models usually focus on nominal, mainstream aspects and scenarios. Presence-related aspects are often assumed to pose no issue, and remain unattended in both the conceptual and actual system design phases. The Pareto rule-of-thumb of system design asserts that about 20% of design and development efforts cover the nominal, “sunny day” process, while the other 80% cover exceptions, alternative scenarios, failure modes, edge conditions, special settings, and emergencies. We propose an approach to extend the naïve, nominal system model by enriching it with notions of presence-awareness and sensitivity. This approach is facilitated by Object-Process Methodology, a holistic system and process modeling framework, currently being adopted as ISO standard 19450. |
| Starting Page | 996 |
| Ending Page | 1001 |
| File Size | 783140 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479938407 |
| DOI | 10.1109/SMC.2014.6974043 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological system modeling Robustness Analytical models Adaptation models Monitoring Sensitivity Presence-Awareness Model-based Systems Engineering Exception Modeling Object-Process Methodology Conceptual Model-based Systems Biology Input Variability Process Anomaly Exception Handling Presence |
| Content Type | Text |
| Resource Type | Article |
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