Abstract
This paper overviews our currently in progress agent communication language simulator, called DIAGAL, by describing its use in analyzing and modelling automated conversations in offices. Offices are modelled here as systems of communicative action based on dialogue games. Through such games, people in once engage in actions by making promises, stating facts, asking for information, and so on. And through these actions they create, modify, discharge, cancel, release, assign, delegate commitments that bind their current and future behaviors. To make apparent such commitments, we consider here Agent Communication Language (ACL) from the dialectic point of view, where agents “play a game” based on commitments. Such games based on commitments are incorporated in DIAGAL tool, which has been developed having in mind the following questions: (1) What kind of structure has the game? How are rules specified within the game?; (2) What kind of games’ compositions are allowed?; (3) How participants in conversation reach agreement on the current game? How are games opened or closed?
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Labrie, M.A., Chaib-draa, B., Maudet, N. (2003). DIAGAL: A Tool for Analyzing and Modelling Commitment-Based Dialogues between Agents. In: Xiang, Y., Chaib-draa, B. (eds) Advances in Artificial Intelligence. Canadian AI 2003. Lecture Notes in Computer Science, vol 2671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44886-1_27
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DOI: https://doi.org/10.1007/3-540-44886-1_27
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