A Mixed Observability Markov Decision Process Model for Musical Pitch
Artificial Intelligence
2012-06-06 v1 Machine Learning
Abstract
Partially observable Markov decision processes have been widely used to provide models for real-world decision making problems. In this paper, we will provide a method in which a slightly different version of them called Mixed observability Markov decision process, MOMDP, is going to join with our problem. Basically, we aim at offering a behavioural model for interaction of intelligent agents with musical pitch environment and we will show that how MOMDP can shed some light on building up a decision making model for musical pitch conveniently.
Cite
@article{arxiv.1206.0855,
title = {A Mixed Observability Markov Decision Process Model for Musical Pitch},
author = {Pouyan Rafiei Fard and Keyvan Yahya},
journal= {arXiv preprint arXiv:1206.0855},
year = {2012}
}
Comments
In 5th International Workshop on Machine Learning and Music, Edinburgh, Scotland, UK, 2012. Copyright 2012 by the author(s)/owner(s)