Defining Inspiration? Modelling non-conscious creative process

What composers do The title of this collection, ‘The Act of Musical Composition: Studies in the Creative Process’, might be taken to carry with it some suppositions about the nature of possible answers to the questions it implies. The purpose of this chapter is to deconstruct some aspects of those suppositions and to tease apart the tangled and inscrutable network of happenings that constitute the construction of a piece of music by a musician. The narrative here is intended to propose a hypothesis accounting for human musical creativity, which is a large-scale endeavour. For that reason, I do not present detail of the computational mechanisms on which I rely for evidence, nor of the empirical work done to validate them as cognitive models. The interested reader is invited to learn about the detail in the various published papers that I cite along the way. My colleagues and I have argued elsewhere12 that music needs to be studied as a primarily psychological construct, for it is from the psychology that music’s equally

[1]  D. Cope Virtual Music: Computer Synthesis of Musical Style , 2001 .

[2]  Mark D. Plumbley,et al.  Information dynamics: patterns of expectation and surprise in the perception of music , 2009, Connect. Sci..

[3]  Edward A. Vessel,et al.  Perceptual Pleasure and the Brain , 2006 .

[4]  Kemal Ebcioglu,et al.  An Expert System for Harmonizing Four-Part Chorales , 1988, ICMC.

[5]  Geraint A. Wiggins,et al.  Auditory Expectation: The Information Dynamics of Music Perception and Cognition , 2012, Top. Cogn. Sci..

[6]  E. Holmes The Life of Mozart: Including his Correspondence , 1991 .

[7]  Graeme Ritchie,et al.  Some Empirical Criteria for Attributing Creativity to a Computer Program , 2007, Minds and Machines.

[8]  Geraint A. Wiggins,et al.  AI Methods for Algorithmic Composition: A Survey, a Critical View and Future Prospects , 1999 .

[9]  Geraint A. Wiggins,et al.  The Role of Expectation and Probabilistic Learning in Auditory Boundary Perception: A Model Comparison , 2010, Perception.

[10]  L. Schauble,et al.  Beyond Modularity: A Developmental Perspective on Cognitive Science. , 1994 .

[11]  Geraint A. Wiggins,et al.  Evaluating Cognitive Models of Musical Composition , 2007 .

[12]  Alan Smaill,et al.  Chorale harmonization: A view from a search control perspective , 2006 .

[13]  María Herrojo Ruiz,et al.  Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation , 2010, NeuroImage.

[14]  Geraint A. Wiggins Searching for computational creativity , 2006, New Generation Computing.

[15]  Bret Aarden Dynamic melodic expectancy , 2003 .

[16]  Elizabeth Hellmuth Margulis,et al.  Musical Style, Psychoaesthetics, and Prospects for Entropy as an Analytic Tool , 2008, Computer Music Journal.

[17]  Geraint A. Wiggins,et al.  Development of Techniques for the Computational Modelling of Harmony , 2010, ICCC.

[18]  Francisco Câmara Pereira Creativity and Artificial Intelligence , 2007 .

[19]  W. R. Garner Applications of Information Theory to Psychology , 1959 .

[20]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[21]  Angela Schwering,et al.  Conceptual Spaces - The Geometry of Thought , 2008, Künstliche Intell..

[22]  Geraint A. Wiggins ‘‘I let the music speak’’: Cross-domain application of a cognitive model of musical learning , 2011 .

[23]  Somnuk Phon-Amnuaisuk,et al.  Evolutionary methods for musical composition , 1998 .

[24]  Marcus T. Pearce,et al.  The construction and evaluation of statistical models of melodic structure in music perception and composition , 2005 .

[25]  Claude Delpuech,et al.  Neural dynamics of the intention to speak. , 2010, Cerebral cortex.

[26]  THE THEORY OF STOCHASTIC PROCESSES AND DYNAMICAL SYSTEMS AS A BASIS FOR MODELS OF MUSICAL STRUCTURES , 1984 .

[27]  A. Bundy What is the difference between real creativity and mere novelty? , 1994, Behavioral and Brain Sciences.

[28]  Charles Ames,et al.  The Markov Process as a Compositional Model: A Survey and Tutorial , 2017 .

[29]  B. Baars A cognitive theory of consciousness , 1988 .

[30]  Geraint A. Wiggins,et al.  Methods for Combining Statistical Models of Music , 2004, CMMR.

[31]  W. McD. Grundzüge der physiologischen Psychologie , 1902, Nature.

[32]  Geraint A. Wiggins,et al.  A preliminary framework for description, analysis and comparison of creative systems , 2006, Knowl. Based Syst..

[33]  Geraint A. Wiggins Semantic Gap?? Schemantic Schmap!! Methodological Considerations in the Scientific Study of Music , 2009, 2009 11th IEEE International Symposium on Multimedia.

[34]  Terri Gullickson The Creative Mind: Myths and Mechanisms. , 1995 .

[35]  Kamran Baig An act of creation , 2003, BMJ : British Medical Journal.

[36]  Geraint A. Wiggins,et al.  On the non-existence of music: Why music theory is a figment of the imagination , 2010 .

[37]  Geraint A. Wiggins,et al.  EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING , 2006 .

[38]  J. Saffran,et al.  Absolute pitch in infant auditory learning: evidence for developmental reorganization. , 2001, Developmental psychology.