Partially Observable Markov Decision Processes for Spoken Dialog Systems

Williams, J. D., & Young, S. (2007). Partially Observable Markov Decision Processes for Spoken Dialog Systems. Computer Speech & Language, 21(2), 393-422.

Type

Journal article

Intellectual base

Primary research

Year

2007

DOI

10.1016/j.csl.2006.06.008

Link

https://doi.org/10.1016/j.csl.2006.06.008

Cited from

psychology

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Object Permanence
  • Theory-of-mind research informs conversational AI that maintains user-model state across sessions.

    This sourceMaintains a belief state — a probability distribution over latent dialog states — carried and updated across conversational turns, the dialogue-system instance of a persistent user-model across interaction (interpersonal object permanence).

Verification

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