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Normative Deliberation in Graded BDI Agents

  • Natalia Criado
  • Estefania Argente
  • Vicent Botti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6251)

Abstract

Norms have been employed as a coordination mechanism for Open MAS, but to become effective, they must be internalized by agents; i.e. these agents must be able to accept norms while maintaining their autonomy. Nevertheless, traditional BDI agent architectures only represent beliefs, intentions and desires. In this paper, the multi-context BDI agent architecture has been extended with a recognition context and a normative context in order to allow agents to acquire norms from their environment and consider norms in their decisions.

Keywords

Normative Reasoning Normative Context Recognition Context Belief Context Certainty Degree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Artikis, A., Pitt, J.: A formal model of open agent societies. In: AGENTS, pp. 192–193. ACM, New York (2001)CrossRefGoogle Scholar
  2. 2.
    Boella, G., Torre, L., Verhagen, H.: Introduction to the special issue on normative multiagent systems. Auton. Agents Multi-Agent Syst. 17(1), 1–10 (2008)CrossRefGoogle Scholar
  3. 3.
    Conte, R., Castelfranchi, C., Dignum, F.: Autonomous norm acceptance. In: Rao, A.S., Singh, M.P., Müller, J.P. (eds.) ATAL 1998. LNCS (LNAI), vol. 1555, pp. 99–112. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  4. 4.
    Broersen, J., Dastani, M., Hulstijn, J., Huang, Z., van der Torre, L.: The boid architecture - conflicts between beliefs, obligations, intentions and desires. In: AAMAS, pp. 9–16. ACM Press, New York (2001)Google Scholar
  5. 5.
    Andrighetto, G., Campenní, M., Cecconi, F., Conte, R.: How agents find out norms: A simulation based model of norm innovation. In: NORMAS, pp. 16–30 (2008)Google Scholar
  6. 6.
    Castelfranchi, C.: Prescribed mental attitudes in goal-adoption and norm-adoption. Artif. Intell. Law 7(1), 37–50 (1999)CrossRefGoogle Scholar
  7. 7.
    Conte, R., Andrighetto, G., Campennì, M.: On norm internalization. a position paper. In: EUMAS, pp. 1–13 (2010)Google Scholar
  8. 8.
    Casali, A., Godo, L., Sierra, C.: A logical framework to represent and reason about graded preferences and intentions. In: K.R. (ed.) KR, pp. 27–37. AAAI Press, Menlo Park (2008)Google Scholar
  9. 9.
    Botti, V., Garrido, A., Giret, A., Noriega, P.: Managing water demand as a regulated open mas. In: COIN, pp. 1–10 (2009)Google Scholar
  10. 10.
    Giunchiglia, F., Serafini, L.: Multilanguage hierarchical logics, or: How we can do without modal logics. Artificial Intelligence 65(1), 29–70 (1994)MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Meyer, J.: Dynamic logic for reasoning about actions and agents. In: Logic-Based Artificial Intelligence, pp. 281–311. Kluwer Academic Publishers, Dordrecht (2000)CrossRefGoogle Scholar
  12. 12.
    Sripada, C., Stich, S.: A framework for the psychology of norms. The Innate Mind: Culture and Cognition, 280–301 (2006)Google Scholar
  13. 13.
    Criado, N., Argente, E., Botti, V.: Rational Strategies for Autonomous Norm Adoption. In: COIN, pp. 9–16 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Natalia Criado
    • 1
  • Estefania Argente
    • 1
  • Vicent Botti
    • 1
  1. 1.Departamento de Sistemas Informáticos y ComputaciónUniversidad Politécnica de ValenciaValencia

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