{"id":"https://openalex.org/W4246642245","doi":"https://doi.org/10.7287/peerj.preprints.27731v1","title":"Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina","display_name":"Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina","publication_year":2019,"publication_date":"2019-05-15","ids":{"openalex":"https://openalex.org/W4246642245","doi":"https://doi.org/10.7287/peerj.preprints.27731v1"},"language":"en","primary_location":{"id":"doi:10.7287/peerj.preprints.27731v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27731v1","pdf_url":"https://peerj.com/preprints/27731.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://peerj.com/preprints/27731.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082357445","display_name":"Torsten Anders","orcid":"https://orcid.org/0000-0002-4995-9058"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Torsten Anders","raw_affiliation_strings":["School of Media Arts and Performance, University of Bedfordshire, Luton, Bedfordshire, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Media Arts and Performance, University of Bedfordshire, Luton, Bedfordshire, United Kingdom","institution_ids":["https://openalex.org/I147554453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073402985","display_name":"Benjamin Inden","orcid":"https://orcid.org/0000-0001-6048-6856"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benjamin Inden","raw_affiliation_strings":["Department of Computer Science and Technology, Nottingham Trent University, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nottingham Trent University, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082357445"],"corresponding_institution_ids":["https://openalex.org/I147554453"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26409912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-dissonance","display_name":"Cognitive dissonance","score":0.9514837265014648},{"id":"https://openalex.org/keywords/melody","display_name":"Melody","score":0.6977816820144653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6196964979171753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131998896598816},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5906145572662354},{"id":"https://openalex.org/keywords/consonance-and-dissonance","display_name":"Consonance and dissonance","score":0.5537965893745422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5279119610786438},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48159095644950867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40264809131622314},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24566158652305603},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1384681761264801},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09794926643371582},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.08322259783744812}],"concepts":[{"id":"https://openalex.org/C77513098","wikidata":"https://www.wikidata.org/wiki/Q209722","display_name":"Cognitive dissonance","level":2,"score":0.9514837265014648},{"id":"https://openalex.org/C43803900","wikidata":"https://www.wikidata.org/wiki/Q170412","display_name":"Melody","level":3,"score":0.6977816820144653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6196964979171753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131998896598816},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5906145572662354},{"id":"https://openalex.org/C95593028","wikidata":"https://www.wikidata.org/wiki/Q3029382","display_name":"Consonance and dissonance","level":2,"score":0.5537965893745422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5279119610786438},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48159095644950867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40264809131622314},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24566158652305603},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1384681761264801},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09794926643371582},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.08322259783744812},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7287/peerj.preprints.27731v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27731v1","pdf_url":"https://peerj.com/preprints/27731.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.7287/peerj.preprints.27731v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27731v1","pdf_url":"https://peerj.com/preprints/27731.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4246642245.pdf","grobid_xml":"https://content.openalex.org/works/W4246642245.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2335449527","https://openalex.org/W4229830527","https://openalex.org/W22841230","https://openalex.org/W2317105312","https://openalex.org/W2012557948","https://openalex.org/W4240905848","https://openalex.org/W2014288430","https://openalex.org/W2161892254","https://openalex.org/W2164570642","https://openalex.org/W3120595843"],"abstract_inverted_index":{"We":[0,68,85],"describe":[1],"a":[2,71,89,132],"method":[3],"to":[4,65,188],"automatically":[5,92],"extract":[6],"symbolic":[7],"compositional":[8],"rules":[9,23,114,159,173],"from":[10,131],"music":[11],"corpora":[12],"that":[13,33],"can":[14],"be":[15],"combined":[16],"with":[17,88,96,107,122,179],"each":[18,120],"other":[19,141],"and":[20,27,54,111,151],"manually":[21],"programmed":[22],"for":[24,62,175],"algorithmic":[25],"composition,":[26],"some":[28,170],"preliminary":[29],"results":[30],"of":[31,47,51,119,155,163],"applying":[32],"method.":[34],"As":[35,125,135],"machine":[36],"learning":[37,48],"technique":[38],"we":[39,128,138],"chose":[40],"genetic":[41,123],"programming,":[42],"because":[43],"it":[44],"is":[45],"capable":[46],"formula":[49],"consisting":[50],"both":[52],"logic":[53],"numeric":[55],"relations.":[56],"Genetic":[57],"programming":[58],"was":[59],"never":[60],"used":[61],"this":[63,76],"purpose":[64],"our":[66],"knowledge.":[67],"therefore":[69],"investigate":[70],"well":[72],"understood":[73],"case":[74],"in":[75,82],"pilot":[77],"study:":[78],"the":[79,108,116,164,184],"dissonance":[80,101,117,165,185],"treatment":[81,118],"Palestrina\u2019s":[83],"music.":[84],"label":[86],"dissonances":[87,98,130],"custom":[90],"algorithm,":[91,110],"cluster":[93],"melodic":[94,143,149,161],"fragments":[95,144],"labelled":[97],"into":[99],"different":[100],"categories":[102,166],"(passing":[103],"tone,":[104],"suspension":[105,187],"etc.)":[106],"DBSCAN":[109],"then":[112],"learn":[113],"describing":[115],"category":[121,186],"programming.":[124],"positive":[126,156,180],"examples":[127,137,181],"use":[129],"given":[133],"category.":[134],"negative":[136],"us":[139],"all":[140],"dissonances;":[142,146],"without":[145],"purely":[147],"random":[148,153],"fragments;":[150],"slight":[152],"transformations":[154],"examples.":[157],"Learnt":[158],"circumstantiate":[160],"features":[162],"very":[167],"well,":[168],"though":[169],"resulting":[171],"best":[172],"allow":[174],"minor":[176],"deviations":[177],"compared":[178],"(e.g.,":[182],"allowing":[183],"occur":[189],"also":[190],"on":[191],"shorter":[192],"notes).":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
