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A preliminary framework for description, analysis and comparison of creative systems
- Geraint A. Wiggins
- Computer ScienceKnowl. Based Syst.
- 1 November 2006
Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music
This work proposes a geometric approach to repetition discovery in which the music is represented as a multidimensional dataset, which allows polyphonic music to be analysed as efficiently as monophonic music and it can be used to discoverpolyphonic repeated patterns “with gaps” in the timbre, dynamic and rhythmic structure of a passage as well as its pitch structure.
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.
Searching for computational creativity
- Geraint A. Wiggins
- Environmental ScienceNew Generation Computing
- 1 June 2006
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.
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.
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.
Motivations and Methodologies for Automation of the Compositional Process
It is argued that research in the four domains will continueto stagnate unless the motivations and aims of research projects are clearly stated and appropriate methodologies are adopted for developing and evaluating systems that compose music.
AI Methods for Algorithmic Composition: A Survey, a Critical View and Future Prospects
The use of different AI methods for algorithmic composition are surveyed, their advantages and disadvantages are presented, some important general issues are discussed and desirable future prospects are proposed.
EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING
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 that…