Advertisement

Toward a Motivated BDI Agent Using Attributes Embedded in Mental States

  • José Cascalho
  • Luis Antunes
  • Milton Corrêa
  • Helder Coelho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4177)

Abstract

In this paper we discuss how to apply the Mental State Framework to model an agent that uses different motivations to make decisions. We employ several mental states attributes to characterize the mechanism of decision and we add a set of motivation-derived desires to the top of a BDI-like architecture. We show that an agent can change her behavior if motives behind the decisions change. Finally we explore reasons behind reasons, arguing that we can expect to identify different agent types. Endowed with such operational extensions, the Mental State Framework can provide a tool with which to program flexible agents in a principled way.

Keywords

Maximum Price Ticket Price Software House Trigger Rule Intention Return 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Corrêa, M., Coelho, H.: Collective mental states in an extended mental states framework. In: International Conference on Collective Intentionality IV, Certosa di Pontignano, pp. 13–15 (2004)Google Scholar
  2. 2.
    Corrêa, M., Coelho, H.: From mental states and architectures to agents’ programming. In: Coelho, H. (ed.) IBERAMIA 1998. LNCS (LNAI), vol. 1484, pp. 64–75. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  3. 3.
    Coddington, A., Luck, M.: A motivation-based planning and execution framework. International Journal on Artificial Intelligence Tools 13, 5–25 (2004)CrossRefGoogle Scholar
  4. 4.
    Wooldridge, M.: Reasoning about Rational Agents. MIT Press, Cambridge (2000)MATHGoogle Scholar
  5. 5.
    Sloman, A.: In: Motive Mechanisms Emotions. In: Boden, M.A. (ed.) The Philososphy of Artificial Intelligence, pp. 231–247. Oxford University Press, Oxford (1990)Google Scholar
  6. 6.
    Cohn, A.C., Jennings, N.R.: Interaction, planning and motivation. In: Cognitive systems: Information processing meets brain science, pp. 163–188. Springer, Heidelberg (2005)Google Scholar
  7. 7.
    Norman, T.J., Long, D.: Goal creation in motivated agents. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, pp. 277–290. Springer, Heidelberg (1995)Google Scholar
  8. 8.
    Lioncourt, S.W., Luck, M.: Motivated agent behaviour and requirements applied to virtual emergencies. In: Mařík, V., Štěpánková, O., Krautwurmová, H., Luck, M. (eds.) ACAI 2001, EASSS 2001, AEMAS 2001, and HoloMAS 2001. LNCS (LNAI), vol. 2322, pp. 43–60. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  9. 9.
    Antunes, L., Faria, J.C.P., Coelho, H.: Improving choice mechanisms within the BVG architecture. In: Castelfranchi, C., Lespérance, Y. (eds.) ATAL 2000. LNCS (LNAI), vol. 1986, pp. 290–304. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  10. 10.
    Munroe, S.J., Luck, M., d’Inverno, M.: Towards motivation-based decisions for worth goals. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, pp. 17–28. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • José Cascalho
    • 1
  • Luis Antunes
    • 1
  • Milton Corrêa
    • 2
  • Helder Coelho
    • 1
  1. 1.Departamento de InformáticaFaculdade de Ciências da Universidade de LisboaLisboaPortugal
  2. 2.Laboratório Nacional de Cálculo CientíficoCoordenação de InformáticaPetrópolisBrasil

Personalised recommendations