Heuristic for multi-variable music state recommendations

Authors
Valerio, Joseph D.
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Other Contributors
Bringsjord, Selmer
Lynch, Michael F.
Braasch, Jonas
Issue Date
2013-05
Keywords
Computer science
Degree
MS
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
One current challenge in the CAIRA project, which is devoted to the relationship between creativity, logic and spontaneity in musical environments, is to provide logically provable recommendations to a creative agent based upon the input of two players in an ensemble, as well as the agent itself. We report on the meeting of this challenge herein. At present, the recommendations are proven valid based upon one variable for each player, and each possible combination of player variable ranks may be quickly computed and proven. When the agent enters a state that has not yet been proven, it uses a nearest-neighbor approach to determine which state to enter. However, as more player variables are added, recommendation error and lookup time increase. The focus of this thesis is to provide a method for providing more accurate guess states to the agent in a timely manner.
Description
May 2013
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.