Anna Jordanous
Reader at University of Kent
England, United Kingdom
Summary
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Senior🎓
Top SchoolAnna Jordanous is a Reader in Computing at the University of Kent with 14 years of research-focused experience in AI, computational creativity, music informatics, and NLP. She builds creative software—particularly for musical improvisation—and is known for a highly cited standardized procedure for evaluating claims of machine creativity. Her work blends cognitive and knowledge modelling, semantic web techniques, and music information retrieval to interrogate how creative behavior can be modelled and assessed computationally. Based in the UK and with a PhD in Informatics from the University of Sussex, she bridges rigorous academic methods and practical system-building, often bringing evaluation theory into implemented creative systems.
14 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, PhD Informatics, Doctor of Philosophy - PhD, PhD Informatics at University of Sussex
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
genetic8
music7
evolution7
jazz7
testbed7
genetic-algorithm6
evaluation6
intervention5
evolve4
soundcloud3
Programming languages (1)
Github contributions (5)
The code featured in this academic paper from 2010 - here is the abstract of the paper Can a computer evolve creative entities based on how creative they are? Taking the domain of jazz improvisation, this ongoing work investigates how creativity can be evolved and evaluated by a computational system. The aim is for the system to work with minimal human assistance, as autonomously as possible. The system employs a genetic algorithm to evolve musical parameters for algorithmic jazz music improvisation. For each set of parameters, several improvisations are generated. The fi tness function of the genetic algorithm implements a set of criteria for creativity proposed by Graeme Ritchie. The evolution of the improvisation parameters is directed by the creativity demonstrated in the generated improvisations. From preliminary fi ndings, whilst Ritchie's criteria does guide the system towards producing more acceptably pleasing and typical jazz music, the criteria (in their current form) rely too heavily on human intervention to be practically useful for computational evaluation of creativity. In pursuing more autonomous creativity assessment, however, this system is a promising testbed for examining alternative theories about how creativity could be evaluated computationally.
Contributions:32 commits, 2 PRs, 22 pushes in 10 years 7 months
evolutionaimtestbedassistancepreliminary
ValuingElectronicMusic/network-analysis
Feb 2014 - Jul 2014
Contributions:84 commits in 4 months
electronic-musicsoundcloudelectronicinteractionsmusic
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