Composing music with case-based reasoning

Comunicação apresentada na International Conference on Computational Models of Creative Cognition, Dublin, 1997.Music is one of the most intriguing and joyful domain of research and analysis. Driven by this insatiable curiosity, Musical Analysis has emerged to formally understand and structure music and its intrinsic intention and causality. Each complete analysis of a piece points to issues that go far beyond the normal graphical music representation. A better analysis is important not only to a better interpretation, but also to a more perfect composition. An exceptional composer is indeed an exceptional analyst. This paper presents a computational approach to music composition through the use and exploration of musical analysis. Centered on Case-Based Reasoning and Planning techniques, it consists on creating new solutions by keeping, transforming and extrapolating knowledge from already expert-made music analysis. For our approach, each analysis is represented as a precisely structured Case, divisible into all of its components. The process of composition we adopt is progressive, left-to-right, and top-to-bottom and has some similarities with (Wallas’ 1926) theory for creative production (Macedo et al. 1996a) which we adapted for this specifically structured and complex domain. The resulting implemented program has already generated several different musical pieces, which were examined and analyzed by experts, bringing up precious questions and advice

Quality-aware model-driven service engineering

Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Quality aspects ranging from interoperability to maintainability to performance are of central importance for the integration of heterogeneous, distributed service-based systems. Architecture models can substantially influence quality attributes of the implemented software systems. Besides the benefits of explicit architectures on maintainability and reuse, architectural constraints such as styles, reference architectures and architectural patterns can influence observable software properties such as performance. Empirical performance evaluation is a process of measuring and evaluating the performance of implemented software. We present an approach for addressing the quality of services and service-based systems at the model-level in the context of model-driven service engineering. The focus on architecture-level models is a consequence of the black-box character of services