A computational model of the music of Stevie Ray Vaughan

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.