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Managing a dialogue between a student and an intelligent tutoring system is a challenging problem for many applications. It has often been argued and demonstrated that adaptive dialogues between a user and a computer can be generated automatically, using automated planning techniques to plan speech acts. To date such plan-based dialogue generation approaches have relied on deterministic planning algorithms...
In the context of cognitive agent programming frameworks, a main research effort accounts for exploiting goal-orientation for specifying and enacting agent interaction. Existing research work focuses almost totally on direct communication models, typically based on speech-acts and FIPA ACL. In this paper we focus instead on mediated interactions, and in particular on interaction taking place in artifact-based...
Inferences about speech acts are often conditional, nonmonotonic, and involve the issue of time. Most agent communication languages, however, ignore these issues, due to the difficulty to combine them in a single formalism. This paper addresses such issues in defeasible logic, and shows how to express a semantics for ACLs in order to make nonmonotonic inferences on the basis of speech acts.
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