Planning and Acting under Uncertainty: A New Model for Spoken Dialogue Systems

  title={Planning and Acting under Uncertainty: A New Model for Spoken Dialogue Systems},
  author={Bo Zhang and Qingsheng Cai and Jianfeng Mao and Baining Guo},
Uncertainty plays a central role in spoken dialogue systems. Some stochastic models like the Markov decision process (MDP) are used to model the dialogue manager. But the partially observable system state and user intentions hinder the natural representation of the dialogue state. A MDP-based system degrades quickly when uncertainty about a user's intention increases. We propose a novel dialogue model based on the partially observable Markov decision process (POMDP). We use hidden system states… CONTINUE READING
Highly Cited
This paper has 58 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 39 extracted citations

59 Citations

Citations per Year
Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 10 references

Exact and approximate

  • A. R. Cassandra
  • 1998
Highly Influential
3 Excerpts

Exact and approximate algorithms for partially observable Markov decision processes

  • N. L. Zhang
  • 1998

Dynamic programming

  • R E.
  • Journal of Artificial Intelligence
  • 1957

Conversation as action under uncertainty

  • S. Thrun

Similar Papers

Loading similar papers…