Abstract
We propose a systemic meta-model for the sustainable simulation of socio-environmental complex systems. The approach presented integrates data uncertainty management, for both representing and manipulating rigorously quantities which may have a finite number of possible or probable values with their interdependencies. We also provide an operationalization of such models for both data retrieving, via an object-relational mapping, and model simulation, via series of triples, which are linked to examples in the field of agriculture.
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Keywords
- System Meta Model
- Socio-environmental Systems
- Sustained Simulation
- Object-relational Mapping
- Finite Number
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2016 Springer International Publishing Switzerland
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Dantan, J., Pollet, Y., Taibi, S. (2016). A Systemic Meta-Model for Socio-Environmental Systems. In: Auvray, G., Bocquet, JC., Bonjour, E., Krob, D. (eds) Complex Systems Design & Management. Springer, Cham. https://doi.org/10.1007/978-3-319-26109-6_33
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DOI: https://doi.org/10.1007/978-3-319-26109-6_33
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26107-2
Online ISBN: 978-3-319-26109-6
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