Abstract
Abstract While much research has been done on modeling human performance on a computer and several systems have been successful, few researchers have addressed the task of equipping the “artificial performer” with as much information about the score as a human performer. Highly sophisticated tracking algorithms have been developed but there remains much to be done on the problems of “musicalization” and “ensemble interaction” (group dynamics). The Artificially Intelligent Computer Performer (AICP) addresses these problems and presents a user Journal of New Music Research that is at once intuitive and pedagogical. It uses a commercially available notation and sequencing program for score input. Heuristics are invoked which overlay tracking algorithms and transform the AICP from its tradional role as an accompanist into a more intelligent decision maker. This paper accompanies a demonstration of the AICP and explains the operation of the program, as well as some of our solutions to the problems described ab...
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