The
University of Edinburgh The Music Informatics Research Group


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References

BSW92
J. Bryson, A. Smaill, and G. Wiggins. The Reactive Accompanist: Applying Subsumption Architecture to Software Design. Research Paper 606, Dept. of Artificial Intelligence, Edinburgh, 1992.

CW99
B. Curry and G. Wiggins. A New Approach to Cooperative Performance: A Preliminary Experiment. To appear in the International Journal of Computing Anticipatory Systems, 1999.

Hol76
S.R. Holtzman. A Program for Key Determination. Research Report 20, Dept. of Artificial Intelligence, Edinburgh, 1976.

Hol78
S.R. Holtzman. Music as System. Interface, 7:173-87, 1978. Also DAI Working Paper 26.

Hol79
S.R. Holtzman. An Automated Digital Sound Synthesis Snstrument. Computer Music Journal, 3(2):53-62, 1979. Also DAI Research Report 59.

Hol80a
S.R. Holtzman. A Generative Grammar Definition Language for Music. Interface, 9:1-48, 1980.

Hol80b
S.R. Holtzman. Generative Grammars and the Computer-Aided Composition of Music. PhD thesis, Edinburgh, 1980.

Hol81
S.R. Holtzman. Using Generative Grammars for Music Composition. Computer Music Journal, pages 51-64, 1981.

HSW91
M. Harris, A. Smaill, and G. Wiggins. Representing Music Symbolically. Research Paper 562, Dept. of Artificial Intelligence, Edinburgh, 1991.

LH87
H. C. Longuet-Higgins. Mental Processes. MIT Press, Cambridge, MA., 1987.

LHS71
H. C. Longuet-Higgins and M.J. Steedman. On Interpreting Bach. In B. Meltzer and D. Michie, editors, Machine Intelligence 6, pages 221-41. Edinburgh University Press, Edinburgh, Scotland, 1971.

PTW99
S. Phon Amnuaisuk, A. Tuwson and G. Wiggins. Evolving Music Harmonisation. Proceedings of Fourth International Conference on Neural Networks and Genetic Algorithms, ICANNCA 99, Slovenia, 1999.

PW99
S. Phon Amnuaisuk and G. Wiggins. The Four-Part Harmonisation Problem: A comparison between Genetic Algorithms and a Rule-based System. Proceedings of AISB 99, Edinburgh, Scotland, 1999.

PW99
G. Papadopoulos and G. Wiggins. A Genetic Algorithm for the Generation of Jazz Melodies. Proceedings of STeP 98, Jyväskylä, Finland, 1998.

PWM98
D. Ponsford, G. Wiggins and C. Mellish. Statistical Learning of Harmonic Movement. Journal of New Music Research, 1998.

RQSW98
J. Robertson, A. Quincey, T. Stapleford and G. Wiggins. Real-Time Music Generation for a Virtual Environment. Proceedings of the ECAI 98 Workshop on AI/ALife and Entertainment, Brighton, 1998.

SSW94
M. Smith, A. Smaill, and G. Wiggins, editors. Music Education: An Artificial Intelligence Approach, Edinburgh 1993, London, 1994. Springer Verlag. Workshops in Computing series.

Ste73
M.J. Steedman. The Formal Description of Musical Perception. PhD thesis, Edinburgh University, 1973.

Ste77
M.J. Steedman. The Perception of Musical Rhythm and Metre. Perception, 6:555-69, 1977.

SWH93
A. Smaill, G. Wiggins, and M. Harris. Hierarchical Music Representation for Composition and Analysis. Computers and the Humanities, 27:7-17, 1993. Also available from Edinburgh as DAI Research Paper No. 511.

SWM93
A. Smaill, G. Wiggins, and E. Miranda. Music Representation - Between the Musician and the Computer. In M. Smith, G. Wiggins, and A. Smaill, editors, Music Education: An Artificial Intelligence Approach. Springer Verlag, London, 1993. Also available as DAI Research Paper 668.

WHS89
G. Wiggins, M. Harris, and A. Smaill. Representing Music for Analysis and Composition. Proceedings of the 2nd IJCAI AI/Music Workshop, Detroit, 1989. Also as Research Paper 504, Dept. of Artificial Intelligence, Edinburgh, 1989.

Wig98
G. Wiggins. The Use of Constraint Systems for Musical Composition. Proceedings of the ECAI 98 Workshop on Constraints and Artistic Applications, Brighton, 1998.

WMSH93
G. Wiggins, E. Miranda, A. Smaill, and M. Harris. Surveying Musical Representation Systems: A Framework for Evaluation. Computer Music Journal, 17(3):31-42, 1993. Machine Tongues series, number XVII; Also available from Edinburgh as DAI Research Paper No. 658.

WPPT99
G. Wiggins, G. Papadopoulos, S. Phon-Amnuaisuk and A. Tuson. Evolutionary Methods for Musical Composition. To appear in the International Journal of Computing Anticipatory Systems, 1999.

WS94
M.D. Westhead and A. Smaill. Automatic Characterisation of Musical Style. In M. Smith, A. Smaill, and G.A. Wiggins, editors, Music Education: An Artificial Intelligence Approach, Edinburgh 1993, pages 157-70, London, 1994.

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Last modified: Fri 13 Aug 2001.