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| EPSRC Reference: |
GR/T21479/01 |
| Title: |
LiveAlgorithms for Music |
| Principal Investigator: |
Dr T Blackwell |
| Other Investigators: |
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| Researcher Co-investigator: |
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| Project Partner: |
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| Department: |
Computing Department |
| Organisation: |
Goldsmiths College |
| Scheme: |
Standard Research |
| Starts: |
01 January 2005 |
Ends: |
31 December 2006 |
Value (£): |
41,026
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence Technologies |
Cognitive Science Applications in ICT |
| Neural Computing |
User Interface Technologies |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
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Summary |
The vision for this network is the development of an artificial music collaborator. This machine partner would take part in musical performance just as a human might; adapting sensitively to change, making creative contributions, and developing musical ideas suggested by others.
Such a system would be running what we call a "live algorithm". This term reflects the idea that the target system would be capable of live interaction under the rigorous demands of a concert performance, and also would be system uninhibited by rules and conventions - a kind of musical artificial life.
It is projected that this goal will be achieved by looking for novel patterning algorithms from apparently non-musical fields such as artificial life, evolutionary computation, neural computation, and swarm intelligence, and finding mappings from these patterns into musical structure. This quest would result in a machine with an unusual musical identity: in order to make this identity understandable to people it will be necessary to link the patterning algorithm to the outside world through a sensitive but human-understandable interface.
The live algorithm differs radically from existing computer music paradigms in that it actively takes part in the ongoing musical dialogue, rather than just reacting to events.
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| Final Report Summary |
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No change to the original summary, except to mention that the network also investigated patterning algorithms from the newly emerging field of unconventional computation.
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| Further Information: |
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| Organisation Website: |
http://www.gold.ac.uk |
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