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A preliminary framework for description, analysis and comparison of creative systems
It is suggested that Boden's descriptive framework, once elaborated in detail, is more uniform and more powerful than it first appears. Expand
Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music
In previous approaches to repetition discovery in music, the music to be analysed has been represented using strings. However, there are certain types of interesting musical repetitions that cannotExpand
Computational Creativity: The Final Frontier?
Computational Creativity is described via a working definition; a brief history of seminal work; an exploration of the main issues, technologies and ideas; a look towards future directions. Expand
Searching for computational creativity
The relationship between traditional AI search methods and Boden's abstraction of creative behaviour is explored, and Bundy’s argument in the context of that exploration is revisited. Expand
The Implication-Realization (IR) theory (Narmour, 1990) posits two cognitive systems involved in the generation of melodic expectations: The first consists of a limited number of symbolic rules thatExpand
Improved Methods for Statistical Modelling of Monophonic Music
An application-independent evaluation of some recent techniques for improving the performance of a subclass of n-gram models on a range of monophonic music data shows that significant and consistent improvements in performance are afforded by several of the evaluated techniques. Expand
Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation
This study investigated melodic pitch expectations elicited by ecologically valid musical stimuli by drawing together computational, behavioural, and electrophysiological evidence and demonstrated that statistical learning produces information-theoretic descriptions of musical notes that are proportional to their perceived expectedness and are associated with characteristic patterns of neural activity. Expand
Auditory Expectation: The Information Dynamics of Music Perception and Cognition
A range of evidence is summarized for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and it is argued that simulating expectation is an important part of understanding a broad range of human faculties, in music and beyond. Expand
Towards A Framework for the Evaluation of Machine Compositions
A framework within which machine compositions may be evaluated objectively allows statements about those compositions to be refuted on the basis of empirical experimentation and is described, which exemplifies these four stages and demonstrates the practicality of the framework. Expand
Evaluating Cognitive Models of Musical Composition
We present a method for the evaluation of creative systems. We deploy a learning-based perceptual model of musical melodic listening in the generation of tonal melodies and evaluate its outputExpand