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)


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.


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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

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