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An adaptive score model for a policy-making education game

Published: 02 October 2014 Publication History

Abstract

In this work we regard policy making as the process of pursuing the attainment of multiple, often conflicting objectives. Different objective evaluations equal to different policy implementations/measures. This process infuses a notion of subjectivity into policy making which has to be appreciated by the citizens in order to achieve public acceptance and enhance transparency. In order to assist the citizens understand the policies, we propose a web-based game called Poliglob in which citizens learn the objectives and their tradeoffs through interactions and visualizations. This work focuses on the game score model which is counting in both the correlation of the user selection to the various optimal (pareto) solutions but also the user prioritization of objectives' importance.

References

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D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc., 1989.
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C. M. Fonseca and P. J. Fleming, Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization. 1993.
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K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182--197, Apr. 2002.
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E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, no. 4, pp. 257--271, Nov. 1999.
[5]
G. W. Greenwood, X. Hu, and J. G. D'Ambrosio, "Fitness Functions for Multiple Objective Optimization Problems: Combining Preferences with Pareto Rankings," in Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, CA, USA, August 5 1996, 1996, pp. 437--455.
[6]
"A Primer in Game Theory by Robert Gibbons (Paperback, 1992),"
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K. Leyton-Brown and Y. Shoham, "Essentials of Game Theory: A Concise Multidisciplinary Introduction," Synth. Lect. Artif. Intell. Mach. Learn., vol. 2, no. 1, pp. 1--88, Jan. 2008.
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M. O. Jackson, "A Brief Introduction to the Basics of Game Theory," Social Science Research Network, Rochester, NY, SSRN Scholarly Paper ID 1968579, Dec. 2011.

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  1. An adaptive score model for a policy-making education game

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    Published In

    cover image ACM Other conferences
    PCI '14: Proceedings of the 18th Panhellenic Conference on Informatics
    October 2014
    355 pages
    ISBN:9781450328975
    DOI:10.1145/2645791
    • General Chairs:
    • Katsikas Sokratis,
    • Hatzopoulos Michael,
    • Apostolopoulos Theodoros,
    • Anagnostopoulos Dimosthenis,
    • Program Chairs:
    • Carayiannis Elias,
    • Varvarigou Theodora,
    • Nikolaidou Mara
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    In-Cooperation

    • Greek Com Soc: Greek Computer Society
    • Univ. of Piraeus: University of Piraeus
    • National and Kapodistrian University of Athens: National and Kapodistrian University of Athens
    • Athens U of Econ & Business: Athens University of Economics and Business

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 October 2014

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    Author Tags

    1. Game score Model
    2. Gamification
    3. Multi-Objective Optimization
    4. Pareto Frontier
    5. Policy-making
    6. Reward Model

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    PCI '14 Paper Acceptance Rate 51 of 102 submissions, 50%;
    Overall Acceptance Rate 190 of 390 submissions, 49%

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