Artificial Intelligence and music: a cornerstone of cognitive musicology
Understanding music with AI
WOLFGANG—a system using emoting potentials to manage musical design
Understanding music with AI
Creativity in invention and design: computational and cognitive explorations of technological originality
Artificial minds
A computer participant in musical improvisation
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
BoB: an interactive improvisational music companion
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
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Every musician who improvises has a unique musical vocabulary, which may be perceived in his or her compositions. In this paper, we explain our design of a computational model that predicts the creative decisions made by the blues musician, Stevie Ray Vaughan for various input scenarios. Our design brings into effect the fact that creative works involve the use of pre-existing structures stored in the creator's mind or knowledge base, retrieved and reconstructed on the basis of appropriate rules, which are triggered by the nature of specific input. The model was partially implemented as a limited production system using a probabilistic method. It was tested with three different input scenarios. The model predicted the musician's decisions with a limited degree of accuracy. The tests provided valuable insight on ways to improve the current performance and suggested revising the definition of a musical pattern to include specific limits on its duration.