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International Conference on Principles and Practice of Constraint Programming

CP 2013: Principles and Practice of Constraint Programming pp 1–2Cite as

Optimization for Policy Making: The Cornerstone for an Integrated Approach

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8124))

Abstract

Policy making is a very complex task taking into account several aspects related to sustainability, namely impact on the environments, health of productive sectors, economic implications and social acceptance. Optimization methods could be extremely useful for analysing alternative policy scenarios, but should be complemented with several other techniques such as machine learning, agent-based simulation, opinion mining and visualization to come up with an integrated system able to support decision making in the overall policy design life cycle. I will discuss how these techniques could be merged with optimization and I will identity some open research directions.

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References

  1. Gavanelli, M., Riguzzi, F., Milano, M., Cagnoli, P.: Logic-Based Decision Support for Strategic Environmental Assessment. In: Theory and Practice of Logic Programming, 26th Int’l. Conference on Logic Programming, ICLP 2010, vol. 10(4-6), pp. 643–658 (July 2010), Special Issue

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  3. Gilbert, N.: Agent based models. Sage Publications Inc. (2007)

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  4. Milano, M.: Sustainable energy policies: research challenges and opportunities. In: Design, Automation and Test in Europe, DATE, pp. 1143–1148 (2013)

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  5. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2008)

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Author information

Authors and Affiliations

  1. DISI, University of Bologna, V.le Risorgimento 2, 40136, Bologna, Italy

    Michela Milano

Authors
  1. Michela Milano
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Editor information

Editors and Affiliations

  1. School of Information and Communication Technology, KTH Royal Institute of Technology, P.O. Box Forum 120, 16440, Kista, Sweden

    Christian Schulte

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© 2013 Springer-Verlag Berlin Heidelberg

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Milano, M. (2013). Optimization for Policy Making: The Cornerstone for an Integrated Approach. In: Schulte, C. (eds) Principles and Practice of Constraint Programming. CP 2013. Lecture Notes in Computer Science, vol 8124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40627-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-40627-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40626-3

  • Online ISBN: 978-3-642-40627-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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