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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/107227...
Part of book or chapter of book . 2000 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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On Abstract Models and Conversation Policies

Authors: Renee Elio; Afsaneh Haddadi;

On Abstract Models and Conversation Policies

Abstract

It is possible to define conversation policies, such as communication or dialogue protocols, that are based strictly on what messages and, respectively, what performatives may follow each other. While such an approach has many practical applications, such protocols support only “local coherence” in a conversation. In a mixed-initiative dialogue between two agents cooperating on some joint task, there must be a “global coherence” in both the conversation and in the task they are trying to accomplish. Recognition of agent intentions about the joint task is essential for this global coherence, but there are further mechanisms needed to ensure that both local and global coherence are jointly maintained. This paper presents a general yet practical approach to designing, managing, and engineering agents that can engage in mixed-initiative dialogues. In this approach, we promote developing abstract task models and designing conversation policies in terms of such models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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