Abstract
The article is related to the problem of decision support in dynamic business contexts where conditions, values and goals frequently change over time, and users should participate continuously in the problem definition. In our research we explore an opportunity to organize and simplify decision support during complex resource allocation processes by combining domain specific languages (DSL) and distributed constraint satisfaction techniques (DCSP). We describe a particular domain-specific language and the corresponding semantic model in terms of a newly proposed DSL&DCSP framework. Applicability of the framework is demonstrated using a real-life example of resource allocation process in the railway transportation.
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References
Binmore, K.: Rational decisions. Princeton University Press, Princeton (2009)
Hodgson, M.: On the Limits of Rational Choice Theory. Econ. Thought 1, 94–108 (2012)
Fernandez-Lopez, M., Gomez-Perez, A.: Overview and analysis of methodologies for building ontologies. Knowl. Eng. Rev. 17(2), 129–156 (2002). Cambridge University Press
Shcherbina, O.: Nonserial dynamic programming and tree decomposition in discrete optimization. In: Waldmann, K.-H., Stocker, U.M. (eds.) Proceedings of International Conference on Operations Research, pp. 155–160. Springer, Berlin (2007)
Martin, F.: Domain Specific Languages. Addison Wesley, Upper Saddle River (2010)
Terence, P.: Language Implementation Patterns: Create Your Own Domain-Specific and General Programming Languages. Pragmatic Bookshelf, Frisco (2012)
Eric, E.: Domain-Driven Design: Tackling Complexity in the Heart of Software. Addison-Wesley (2013)
Makoto, Y.: Distributed Constraint Satisfaction. Springer, Heidelberg (2001)
Choco solver. http://choco-solver.org/
MetaCase+. http://www.metacase.com/
ANother Tool for Language Recognition (ANTLR). http://www.antlr.org/
Gecode toolkit. http://www.gecode.org/
Barták, R. Constraint programming: in pursuit of the holy grail. In: Proceedings of WDS 1999 (Invited Lecture), pp. 555–564 (1999)
Eisenberg, C.: Distributed Constraint Satisfaction for Coordinating and Integrating a Large-Scale, Heterogeneous Enterprise, University of London (2003)
Bacchus, F., van Beek, P.: On the conversion between non-binary and binary constraint satisfaction problems. In: Proceedings of the 15th National Conference on Artificial Intelligence (AAAI 1998) and of the 10th Conference on Innovative Applications of Artificial Intelligence (IAAI 1998), pp. 311–318 (1998)
Kosar, T., Martınez Lopez, P., Barrientos, P., Mernik, M. A preliminary study on various implementation approaches of domain-specific language. In: Information and Software Technology, pp. 390–405. Elsevier (2008)
Disolver. http://research.microsoft.com/apps/pubs/default.aspx?id=64335
Prud’homme, C., Lorca, X., Douence, R., Jussien, N.: Propagation engine prototyping with a domain specific language. Constraints 19(1), 57–77 (2013)
Pereira, M., Fonseca, J., Henriques, P.: Ontological approach for DSL development. In: Computer Languages, Systems & Structures, pp. 35–52. Elsevier (2016)
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Ulitin, B., Babkin, E., Babkina, T. (2016). Combination of DSL and DCSP for Decision Support in Dynamic Contexts. In: Řepa, V., Bruckner, T. (eds) Perspectives in Business Informatics Research. BIR 2016. Lecture Notes in Business Information Processing, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-319-45321-7_12
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DOI: https://doi.org/10.1007/978-3-319-45321-7_12
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