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Association Rules Mining for Culture Modeling

  • Amine Kechid
  • Habiba Drias
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

The difficulty to predict the human’s behavior has caused the need to learn cultural differences between peoples. Although culture is one of the concepts that are difficult to define, best learning these differences depends on the culture modeling quality. In this paper, a new culture modeling is proposed to facilitate the learning process. This modeling allows to generate the frequent cultural characteristics in each region and extract cultural association rules. We create benchmarks of culture, based on a survey accessible from the web. The cultural datasets are analyzed with the Apriori algorithm to extract frequent attributes values. The obtained results show similarities and differences between cultures. Based on these results, we pass to the construction of association rules and their confidence.

Keywords

Culture modeling Cultural differences Frequent cultural attributes Cultural association rules 

References

  1. 1.
    Ashkanasy, N.M., Wilderom, C.P., Peterson, M.F.: Handbook of Organizational Culture and Climate. Sage, Thousand Oaks (2000)Google Scholar
  2. 2.
    Bulitko, V., Solomon, S., Gratch, J., Van Lent, M.: Modeling culturally and emotionally affected behavior. In: AIIDE (2008)Google Scholar
  3. 3.
    D’Andrade, R.G.: Schemas and motivation. Hum. Mot. Cult. Models 23, 44 (1992)Google Scholar
  4. 4.
    Gratch, J., Marsella, S.: Tears and fears: modeling emotions and emotional behaviors in synthetic agents. In: Proceedings of the fifth International Conference on Autonomous Agents, pp. 278–285. ACM (2001)Google Scholar
  5. 5.
    Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, Amsterdam (2011)zbMATHGoogle Scholar
  6. 6.
    Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Cultures. Sage, Thousand Oaks (2001)Google Scholar
  7. 7.
    Hofstede, G.H., Hofstede, G.J., Minkov, M.: Cultures and Organizations: Software of the Mind: Intercultural Cooperation and its Importance for Survival, 3rd edn. McGraw-Hill, New York (2010)Google Scholar
  8. 8.
    House, R., Hanges, P., Ruiz Quintanilla, S., Dorfman, P., Javidan, M., Dickson, M., Gupta, V.: Cultural influences on leadership and organizations: project globe. Adv. Glob. Leadersh. 1, 171–233 (1999)Google Scholar
  9. 9.
    Morris, A., Ross, W., Ulieru, M.: Modelling culture in multi-agent organizations. In: International Conference on Autonomous Agents and Multiagent Systems, pp. 65–79. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Patterson, M., Payne, R., West, M.: Collective climates: a test of their sociopsychological significance. Acad. Manag. J. 39(6), 1675–1691 (1996)Google Scholar
  11. 11.
    Solomon, S., Van Lent, M., Core, M., Carpenter, P., Rosenberg, M.: A language for modeling cultural norms, biases and stereotypes for human behavior models. Technical report, University of Southern California Marina del Rey CA Inst for Creative Technologies (2008)Google Scholar
  12. 12.
    Traum, D., Rickel, J., Gratch, J., Marsella, S.: Negotiation over tasks in hybrid human-agent teams for simulation-based training. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 441–448. ACM (2003)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratory for Research in Artificial Intelligence, Computer Science DepartmentUSTHBBab EzzouarAlgeria

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