Musical agents are artificial agents that tackle musical creative tasks, partially or completely.
This review of musical agents combines the terminology of Generative Arts (artistic practice) …

We propose a system, the Continuator, that bridges the gap between two classes of
traditionally incompatible musical systems:(1) interactive musical systems, limited in their …

The prevalent approach to develo** cognitive models of music perception and
composition is to construct systems of symbolic rules and constraints on the basis of …

This article focuses on the introduction of control, authoring, and composition in human-
computer music improvisation through the description of a guided music generation model …

We describe a multi-agent architecture for an improvization oriented musician-machine
interaction system that learns in real time from human performers. The improvization kernel …

This paper discusses the use of statistical models for the problem of musical style imitation.
Statistical models are created from extant pieces in a stylistic corpus, and have an objective …

The ability to construct a musical theory from examples presents a great intellectual
challenge that, if successfully met, could foster a range of new creative applications. Inspired …

We describe variable markov models we have used for statistical learning of musical
sequences, then we present the factor oracle, a data structure proposed by Crochemore & al …

Markov chains are a well known tool to model temporal properties of many phenomena,
from text structure to fluctuations in economics. Because they are easy to generate …

N-Gram based models have been used for a variety of musical tasks including computer-
assisted composition, machine improvisation, music information retrieval, stylistic analysis …