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.
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Cascalho, J., Antunes, L., Corrêa, M., Coelho, H. (2006). Toward a Motivated BDI Agent Using Attributes Embedded in Mental States. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_48
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DOI: https://doi.org/10.1007/11881216_48
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