Abstract
Agent theories take as their paradigm human intentional behavior; however, as far as agent interaction is concerned, they have not yet satisfactorily taken into account the requirements raised by studies on human Natural Language communication, the most developed means of interaction. The fundamental missing point is the role of intention recognition, which is the basis of human dialog interactions. In this paper, we describe a declarative agent architecture for modeling social agent behavior, with particular attention to Natural Language dialog. The architecture can be used both to recognize a speaker's intentions and generate intention-driven behavior in agent interactions; therefore, it is suited to interface agents for HCI, which require a friendly interaction with users.
This work has been supported by MURST and CNR, Project “Conoscenza, Intenzioni e Comunicazione”.
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Ardissono, L., Boella, G. (1998). An agent model for NL dialog interfaces. In: Giunchiglia, F. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 1998. Lecture Notes in Computer Science, vol 1480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057431
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DOI: https://doi.org/10.1007/BFb0057431
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