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Towards Agents for Policy Making

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Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 5269))

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Abstract

The process of introducing new public policies is a complex one in the sense that the behavior of society at the macro-level depends directly on the individual behavior of the people in that society and ongoing dynamics of the environment. It is at the micro-level that change is initiated, that policies effectively change the behavior of individuals. Since macro-models do not suffice, science has turned to develop and study agent-based simulations, i.e., micro-level models. In correspondence with the good scientific practice of parsimony, current ABSS models are based on agents with simple cognitive capabilities. However, the societies being modeled in policy making relate to real people with real needs and personalities, often of a multi-cultural composition. Those circumstances require the agents to be diversified to accommodate these facts.

In this positioning paper, we propose an incrementally complex model for agent reasoning that can describe the influence of policies or comparable external influences on the behavior of agents. Starting from the BDI model for agent reasoning, we discuss the effect when personality and Maslow’s hierarchy of needs are added to the model. Finally, we extend the model with a component that captures the cultural background and normative constitution of the agent.

In the paper we show how these extensions affect the filtering of the desires and intentions of the agent and the willingness of the agent to modify its behavior in face of a new policy. This way, simulations can be made that support the differentiation of behaviors in multi-cultural societies, and thus can be made to support policy makers in their decisions.

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References

  1. Anderson, J.R.: The adaptive character of thought. Lawrence Erlbaum, Mahwah (1990)

    Google Scholar 

  2. Andriamasinoro, F., Courdier, R.: Integration of generic motivations in social hybrid agents. In: Lindemann, G., et al. (eds.) RASTA 2002. LNCS, vol. 2934, pp. 281–300. Springer, Heidelberg (2004)

    Google Scholar 

  3. Bratman, M.: Intention, Plans, and Practical Reason. CSLI Publications (1987)

    Google Scholar 

  4. Brooks, R.A.: How to build complete creatures rather than isolated cognitive simulators. In: VanLehn, K. (ed.) Architectures for Intelligence, pp. 225–239. Lawrence Erlbaum, Mahwah (1991)

    Google Scholar 

  5. Castelfranchi, C., Dignum, F., Jonker, C.M., Treur, J.: Deliberative normative agents: Principles and architecture. In: Jennings, N.R. (ed.) ATAL 1999. LNCS (LNAI), vol. 1757, pp. 364–378. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  6. Damasio, A.: The Feeling of What Happens: Body, Emotion and the Making of Consciousness. Harcourt Brace (1999)

    Google Scholar 

  7. Dastani, M., Dignum, V., Dignum, F.: Role assignment in open agent societies. In: AAMAS 2003. ACM Press, New York (2003)

    Google Scholar 

  8. Dignum, F., Edmonds, B., Sonenberg, L.: The use of logic in agent-based social simulation. JASSS 7(4) (2004)

    Google Scholar 

  9. Eladhari, M., Lindley, C.: Player character design facilitating emotional depth in mmorpg’s. In: Digigal Games Research Conference (2003)

    Google Scholar 

  10. Folkman, S., Lazarus, R.S.: Coping and emotion. In: Stein, N.L., Leventhal, B., Trabasso, T. (eds.) Psychological and Biological Approaches to Emotion, pp. 313–332. Lawrence Erlbaum, Mahwah (1990)

    Google Scholar 

  11. Hofstede, G.: Cultures Consequences, 2nd edn. Sage Publications, Thousand Oaks (2001)

    Google Scholar 

  12. Hofstede, G.J., Jonker, C.M., Meijer, S., Verwaart, T.: Modelling trade and trust across cultures. In: Stølen, K., Winsborough, W.H., Martinelli, F., Massacci, F. (eds.) iTrust 2006. LNCS, vol. 3986, pp. 120–134. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Jager, W.: The four p’s in social simulation, a perspective on how marketing could benefit from the use of social simulation. Journal of Business Research 60(8), 868–875 (2007)

    Article  Google Scholar 

  14. Jager, W., Mosler, H.J.: Simulating human behavior for understanding and managing environmental dilemmas. Journal of Social Issues 63(1), 97–116 (2007)

    Article  Google Scholar 

  15. Janis, I.L., Mann, L.: Decision making: A psychological analysis of conflict, choice, and commitment. The Free Press (1977)

    Google Scholar 

  16. Jung, C.: Psychologische Typen. Rascher Verlag (1921)

    Google Scholar 

  17. Kable, J.W., Glimcher, P.W.: The neural correlates of subjective value during intertemporal choice. Nat. Neuroscience 10(12), 1625–1633 (2007)

    Article  Google Scholar 

  18. Keirsey, D.: Please understand me II. Temperament Character Intelligence. Prometheus Nemesis Book Company (1998)

    Google Scholar 

  19. Lazarus, R.S., Folkman, S.: Stress, Appraisal, and Coping. Springer, Heidelberg (1984)

    Google Scholar 

  20. Macy, M.W., Willer, R.: From factors to actors. Annual Review of Sociology 28 (2002)

    Google Scholar 

  21. March, J.G.: A Primer on Decision Making: How Decisions Happen. Free Press (1994)

    Google Scholar 

  22. Maslow, A.: Motivation and Personality. Harper (1954)

    Google Scholar 

  23. Sichman, J., Conte, R.: On personal and role mental attitude: A preliminary dependencybased analysis. In: de Oliveira, F.M. (ed.) SBIA 1998. LNCS, vol. 1515, pp. 1–10. Springer, Heidelberg (1998)

    Google Scholar 

  24. Silverman, B., Johns, M., Cornwell, J., O’Brien, K.: Human behavior models for agents in simulators and games: Part i: Enabling science with pmfserv. Presence: Teleoperators and Virtual Environments 15(2)

    Google Scholar 

  25. Sterman, J.: Business Dynamics System Thinking and Modeling for a Complex World. McGraw-Hill Higher Education, New York (2000)

    Google Scholar 

  26. Stern, N.: Stern review report on the economics of climate change. HM Treasury, Independent Reviews (2006)

    Google Scholar 

  27. Sun, R.: The clarion cognitive architecture: Extending cognitive modeling to social simulation. In: Cognition and Multi-Agent Interaction. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  28. Vazquez-Salceda, J., Dignum, V., Dignum, F.: Organizing multiagent systems. JAAMAS 11(3), 307–360 (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. Information and Computing Sciences, Utrecht University, The Netherlands

    Frank Dignum & Virginia Dignum

  2. Technical University Delft, The Netherlands

    Catholijn M. Jonker

Authors
  1. Frank Dignum
  2. Virginia Dignum
  3. Catholijn M. Jonker

Editor information

Editors and Affiliations

  1. ISCTE - Lisbon University Institute, Av. das Forças Armadas, 1649-026, Lisboa, Portugal

    Nuno David

  2. Computer Engineering Department, University of São Paulo, Av. Prof. Luciano Gualberto, tv.3, 158, 05508-970, São Paulo, Brazil

    Jaime Simão Sichman

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© 2009 Springer-Verlag Berlin Heidelberg

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Dignum, F., Dignum, V., Jonker, C.M. (2009). Towards Agents for Policy Making. In: David, N., Sichman, J.S. (eds) Multi-Agent-Based Simulation IX. MABS 2008. Lecture Notes in Computer Science(), vol 5269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01991-3_11

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