Mental Activity and Culture: The Elusive Real World

Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 134)

Abstract

How does culture affect mental activity? That question, applied to the design of social agents, is tackled in this chapter. Mental activity acts on the perceived outside world. It does so in three steps: perceive, interpret, select action. We see that when culture is taken into account, objective reality disappears to a large extent. Instead, perception, interpretation and action selection can differ in many ways between agents from different cultures. This complicates the design of artificially intelligent systems. On the other hand, theory exists that can help us deal with these complications. All people have a shared set of drives and capacities, on which cultures are built. Good knowledge exists on how culture affects perception, interpretation, and action. Empirical research has uncovered major distinctions in social life across cultures. One could say that intelligent agents with different cultures live in the same social world, but in systematically different social landscapes. This social world—in the form of generic sociological theory—and these differences—in the form of cross-cultural theory—can be used for designing these agents. The state of the art is still tentative. The chapter gives examples from recent literature that can serve as points of departure for further work.

Keywords

Culture Social agents Mental activity Drives Social landscape Generic sociological theory Cross-cultural theory Reality Perception Interpretation Action selection 

References

  1. 1.
    Smith, P.B., Fischer, R., Vignoles, V.L., Bond, M.H.: Understanding social psychology across cultures: Engaging with others in a changing world. Sage (2013)Google Scholar
  2. 2.
    Smith, P.B., Bond, M.H., Kagitcibasi, C.: Understanding social psychology across cultures sage (2006)Google Scholar
  3. 3.
    Ramírez-Esparza, N., Gosling, S.D., Benet-Martínez, V., Potter, J.P., Pennebaker, J.W.: Do bilinguals have two personalities? A special case of cultural frame switching. J. Res. Pers. 40, 99–120 (2006)CrossRefGoogle Scholar
  4. 4.
    Hofstede, G.J., Pedersen, P.B., Hofstede, G.: Exploring Culture: Exercise. Stories and Synthetic Cultures. Intercultural Press, Yarmouth, Maine (2002)Google Scholar
  5. 5.
    Degens, D.M., Endrass, B., Hofstede, G.J., Beulens, A.J.M., André, E.: What I see is not what you get: why culture-specific behaviours for virtual characters should be user-tested across cultures. AI & society: J. Hum. Mach. Intell. 1–13 (2014)Google Scholar
  6. 6.
    Luft, J., Ingram, H.: The Johari Window: A graphic model of awareness in interpersonal relations. Hum. Relat. Training. News. 5, 6–7 (1961)Google Scholar
  7. 7.
    Hofstede, G., Hofstede, G.J., Minkov, M.: Cultures and organizations. Software of the Mind. McGraw Hill, New York (2010)Google Scholar
  8. 8.
    Kluckhohn, C., Murray, H.A.: Personality in nature. Culture and Society. Knopf, New york (1948)Google Scholar
  9. 9.
    McCrae, R.R., Costa, P.T.j.: Personality in adulthood: A five-factor theory perspective. Guildford, New York (2003)Google Scholar
  10. 10.
    Degens, D.M., Hofstede, G.J., McBreen, J., Beulens, A.J.M., Mascarenhas, S., Ferreira, N., Paiva, A., Dignum, F.: Creating a World for Socio-Cultural Agents. In: Bosse, T., Broekens, J., Dias, J., van der Zwaan, J. (eds.) Emotion Modeling: Towards Pragmatic Computational Models of Affective Processes, vol. LNAI 8750, pp. 27–43. Springer, Zürich (2014)Google Scholar
  11. 11.
    Dignum, F., Hofstede, G.J., Prada, R.: Let’s get social! From autistic to social agents. In: 13th International conference on autonomous agents and multi-agent systems (AAMAS), pp. 1161–1164. IFAAMAS (2014)Google Scholar
  12. 12.
    Hofstede, G.J.: GRASP agents: social first, intelligent later. AI & Society (accepted 2016)Google Scholar
  13. 13.
    Kemper, T.D.: Status, Power and Ritual Interaction; A Relational Reading of Durkheim. Goffman and Collins. Ashgate, Farnham, UK (2011)Google Scholar
  14. 14.
    Mascarenhas, S., Prada, R., Paiva, A., Hofstede, G.J.: Social importance dynamics: A model for culturally-adaptive agents. In: Aylett, R., Krenn, B., Pelachaud, C., Shimodaira, H. (eds.) Intelligent Virtual Agents, vol. 8108, pp. 325–338. Springer (2013)Google Scholar
  15. 15.
    Degens, D.M., Hofstede, G.J., Mascarenhas, S., Silva, A., Paiva, A., Kistler, F., André, E., Swiderska, A., Krumhuber, E., Kappas, A.: Traveller–intercultural training with intelligent agents for young adults. In: Proceedings of the 8th international conference on foundations of digital games (2013)Google Scholar
  16. 16.
    Ridgeway, C.L.: Framed by gender: How gender inequality persists in the modern world. Oxford University Press (2011)Google Scholar
  17. 17.
    Ortony, A., Clore, G., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, UK (1998)Google Scholar
  18. 18.
    Minkov, M., Hofstede, G.: The evolution of Hofstede’s doctrine. Cross Cultural Management: An International Journal 18, 10–20 (2011)CrossRefGoogle Scholar
  19. 19.
    Minkov, M.: Cross-cultural analysis: The science and art of comparing the world’s modern societies and their cultures. Sage, Los Angeles (2013)CrossRefGoogle Scholar
  20. 20.
    Taras, V., Kirkman, B.L., Steel, P.: Examining the impact of Culture’s consequences: A three-decade, multilevel, meta-analytic review of Hofstede’s cultural value dimensions. J. Appl. Psychol. 95, 405–439 (2010)CrossRefGoogle Scholar
  21. 21.
    Hofstede, G.: Culture’s Consequences. International Differences in Work-Related Values. Sage, Beverly Hills (1980)Google Scholar
  22. 22.
    Hofstede, G., Bond, M.H.: The Confucius connection: From cultural roots to economic growth. Org. Dyn. 16, 5–21 (1994)CrossRefGoogle Scholar
  23. 23.
    Minkov, M.: What makes us different and similar, A new interpretation of the World Values Survey and other cross-cultural data. Klasika i Stil, Sofia (2007)Google Scholar
  24. 24.
    Hofstede, G.J., Mascarenhas, S., Paiva, A.: Modelling rituals for Homo biologicus. ESSA 2011 (7th Conference of the European Social Simulation Association), Montpellier (2011)Google Scholar
  25. 25.
    Hofstede, G.J., Caluwé, L.d., Peters, V.: Why simulation games work-In search of the active substance: A synthesis. Simulation & Gaming 41, 824–843 (2010)Google Scholar
  26. 26.
    Hofstede, G.J.: Theory in social simulation: Status-Power theory, national culture and emergence of the glass ceiling. Social Coordination: Principles, Artefacts and Theories, pp. 21–28. AISB, Exeter (2013)Google Scholar
  27. 27.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Cultural Differentiation of Negotiating Agents. Group Decis. Negot. 21, 79–98 (2012)CrossRefGoogle Scholar
  28. 28.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Computational Modeling of Culture’s Consequences. In: Bosse, T., Geller, A. (eds.) Multi-Agent-Based Simulation XI, vol. 6532, pp. 136–151. Springer, Berlin / Heidelberg (2011)CrossRefGoogle Scholar
  29. 29.
    Meijer, S.A., Hofstede, G.J., Omta, S.W.F., Beers, G.: The organization of transactions: research with the Trust and Tracing game. Journal on Chain and Network Science 8, 1–20 (2008)CrossRefGoogle Scholar
  30. 30.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: A Cross-Cultural Multi-agent Model of Opportunism in Trade. In: Nguyen, N.T., Kowalczyk, R. (eds.) Transactions on Computational Collective Intelligence II, pp. 24–45. Springer, Berlin Heidelberg, Berlin, Heidelberg (2010)CrossRefGoogle Scholar
  31. 31.
    Jonker, C.M., Treur, J.: An agent architecture for multi-attribute negotiation. In: International joint conference on artificial intelligence, pp. 1195–1201. Citeseer (2001)Google Scholar
  32. 32.
    Meijer, S., Hofstede, G.J., Beers, G., Omta, S.: Trust and Tracing game: learning about transactions and embeddedness in a trade network. Production Planning & Control 17, 569–583 (2006)CrossRefGoogle Scholar
  33. 33.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Individualism and Collectivism in Trade Agents. Lectures Notes in Artificial Intelligence, vol. 5027, pp. 492–501. Springer, Berlin (2008)Google Scholar
  34. 34.
    Hofstede, G.J., Jonker, C.M., Meijer, S.A., Verwaart, T.: Modelling Trade and Trust across Cultures. In: Trust Management: 4th International Conference, iTrust 2006: Proceedings, Pisa, Italy, May 16–19, 2006, pp. 120–134. Spinger Verlag (2006)Google Scholar
  35. 35.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Uncertainty Avoidance in Trade. In: Proceedings of 2008 Agent-Directed Simulation Symposium (ADS’08), Ottawa, Ontario, Canada, 14–16 April 2008, pp. 143–152 (2008)Google Scholar
  36. 36.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Long-Term Orientation in Trade. Complexity and Artificial Markets, pp. 107–119. Springer-Verlag, Berlin, Heidelberg (2008)Google Scholar
  37. 37.
    Hofstede, G.J., Jonker, C.M., Verwaart, T.: Modelling Power Distance in Trade. In: David, N., Sichman, J.S. (eds.) Multi-Agent-based Simulation IX, International Workshop, MABS 2008, Revised Selected Papers, pp. 1–16. Springer, Berlin (2009)Google Scholar
  38. 38.
    Hofstede, G.: Culture’s Consequences, Comparing Values, Behaviors, Institutions, and Organizations Across Nations. Sage, Thousand Oaks (2001)Google Scholar
  39. 39.
  40. 40.
    Hofstede, G.J., Verwaart, D., Jonker, C.M.: Lemon car game. In: Proceedings of the 30th Conference ISAGA 2008 International simulation and gaming association. Kaunas UniversityGoogle Scholar
  41. 41.
    Roozmand, O., Ghasem-Aghaee, N., Hofstede, G.J., Nematbakhsh, M.A., Baraani, A., Verwaart, T.: Agent-based modeling of consumer decision making process based on power distance and personality. Knowl.-Based Syst. 24, 1075–1095 (2011)CrossRefGoogle Scholar
  42. 42.
    Ferber, J., Stratulat, T., Tranier, J.: Towards an Integral Approach of Organizations in Multi-Agent Systems. In: Dignum, V. (ed.) Handbook of Research on Multi-Agent Systems, pp. 51–75. IGI Global, Hershey (2009)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Social Sciences, Applied Information Technology Group & SiLiCoWageningen UniversityWageningenThe Netherlands

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