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Efficient Dialogue Using a Probabilistic Nested User Model

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Author(s)
McEleney, Bryan 
O'Hare, G. M. P. (Greg M. P.) 
Uri
http://hdl.handle.net/10197/4470
Date Issued
01 August 2005
Date Available
30T11:02:29Z July 2013
Abstract
We describe a set of dialogue simulation experiments, in which a probabilistic nested user model is employed in deciding between speech acts for a collaborative planning task, finding that a gain in utility can be obtained by using a probabilistic rather than a logical model. Given a set of ordinary dialogue plan rules, our system generates a gametree representation of the dialogue, using chance nodes to represent uncertain preconditions in the plan. Then, the game-tree is evaluated with respect to a given user model state.
Type of Material
Conference Publication
Publisher
IJCAI
Copyright (Published Version)
2005, IJCAI
Keywords
  • Dialogue Systems

Web versions
http://www.csse.monash.edu.au/~ingrid/IJCAI05dialogueProc.pdf
Language
English
Status of Item
Peer reviewed
Part of
Proceedings of the Fourth IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems
Description
The 4th IJACI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Edinburgh, Scotland, August 1, 2005
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
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