@inproceedings{46bdba8b49274a6ba7ca6496eabc1202,
title = "OMax brothers: A dynamic yopology of agents for improvization learning",
abstract = "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 is based on sequence modeling and statistical learning. The working system involves a hybrid architecture using two popular composition/perfomance environments, Max and OpenMusic, that are put to work and communicate together, each one handling the process at a different time/memory scale. The system is capable of processing real-time audio/video as well as MIDI. After discussing the general cognitive background of improvization practices, the statistical modeling tools and the concurrent agent architecture are presented. Finally, a prospective Reinforcement Learning scheme for enhancing the system's realism is described.",
keywords = "Computer music, Concurrent agents, Improvization, Machine learning, Man machine interaction, Sequence modeling, Statistical learning, Style modeling, Variable memory markov systems",
author = "G{\'e}rard Assayag and Georges Bloch and Marc Chemillier and Arshia Cont and Shlomo Dubnov",
year = "2006",
month = dec,
day = "1",
doi = "10.1145/1178723.1178742",
language = "English",
isbn = "1595935010",
series = "Proceedings of the ACM International Multimedia Conference and Exhibition",
pages = "125--132",
booktitle = "Proceedings of the 1st ACM Workshop on Audio and Music Computing for Multimedia, AMCMM'06",
note = "1st ACM Workshop on Audio and Music Computing for Multimedia, AMCMM'06, co-located with the 2006 ACM International Multimedia Conference ; Conference date: 27-10-2007 Through 27-10-2007",
}