Resumen
This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three voices, based on the characteristics of classical Western four-part harmony.
| Idioma original | English |
|---|---|
| Publicación | CEUR Workshop Proceedings |
| Volumen | 268 |
| Estado | Published - 2007 |
| Evento | BMA 2007 5th UAI Bayesian Modeling Applications Workshop, UAI-AW 2007 - Vancouver, BC, Canada Duración: jul 19 2007 → jul 19 2007 |
ASJC Scopus subject areas
- General Computer Science
Huella
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