Partially observable markov decision processes for interactive music systems

Aengus Martin, Craig Jin, André Van Schaik, William L. Martens

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

Partially observable Markov decision processes provide a mathematical framework for interaction under uncertain conditions. In this paper we demonstrate their use as a convenient mechanism to control the behaviour of an interactive music system, where otherwise it might be required to use ad-hoc heuristic schemes which are difficult to manage and fine-tune.

Original languageEnglish
Title of host publicationInternational Computer Music Conference, ICMC 2010
PublisherInternational Computer Music Association
Pages490-493
Number of pages4
ISBN (Electronic)0971319286
Publication statusPublished - 2010
Externally publishedYes
EventInternational Computer Music Conference, ICMC 2010 - New York City and Stony Brook, United States
Duration: 1 Jun 20105 Jun 2010

Publication series

NameInternational Computer Music Conference, ICMC 2010

Conference

ConferenceInternational Computer Music Conference, ICMC 2010
Country/TerritoryUnited States
CityNew York City and Stony Brook
Period1/06/105/06/10

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