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010   $a94-017-9561-4
024 7 $a10.1007/978-94-017-9561-6
035   $a(CKB)3710000000332489
035   $a(EBL)1966688
035   $a(OCoLC)900158053
035   $a(SSID)ssj0001424556
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035   $a(PQKBTitleCode)TC0001424556
035   $a(PQKBWorkID)11363954
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035   $a(DE-He213)978-94-017-9561-6
035   $a(MiAaPQ)EBC1966688
035   $a(PPN)183517245
035   $a(EXLCZ)993710000000332489
100   $a20150111d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPatterns of Intuition $eMusical Creativity in the Light of Algorithmic Composition /$fedited by Gerhard Nierhaus
205   $a1st ed. 2015.
210  1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2015.
215   $a1 online resource (416 p.)
300   $aDescription based upon print version of record.
311   $a94-017-9560-6 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aOutline of the compositional structure(s) to be investigated -- The algorithms/procedures used -- Findings -- Improvisation in Trees -- Electronic Music for an Acoustic Piano -- Forbidden Melodies -- The Semantics of a String Quartet -- Comments from renowned scientists from related research areas of Algorithmic Composition, Musicology, Artistic Research, Creativity.
330   $aThe present book is the result of a three year research project which investigated the creative act of composing by means of algorithmic composition. Central to the investigation are the compositional strategies of 12 composers, which were documented through a dialogic and cyclic process of modelling and evaluating musical materials. The aesthetic premises and compositional approaches configure a rich spectrum of diverse positions, which is reflected also in the kinds of approaches and methods used. These approaches and methods include the generation and evaluation of chord sequences using genetic algorithms, the application of morphing strategies to research harmonic transformations, an automatic classification of personal preferences via machine learning, and an application of mathematical music theory to the analysis and resynthesis of musical material. The second part of the book features contributions by Sandeep Bhagwati, William Brooks, David Cope, Darla Crispin, Nicolas Donin, and Guerino Mazzola. These authors variously consider the project from different perspectives, offer independent approaches, or provide more general reflections from their respective research fields.
606   $aArtificial intelligence
606   $aPhysics
606   $aSystem theory
606   $aMusic
606   $aComputational complexity
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090
606   $aMusic$3https://scigraph.springernature.com/ontologies/product-market-codes/417000
606   $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022
615  0$aArtificial intelligence.
615  0$aPhysics.
615  0$aSystem theory.
615  0$aMusic.
615  0$aComputational complexity.
615 14$aArtificial Intelligence.
615 24$aApplications of Graph Theory and Complex Networks.
615 24$aComplex Systems.
615 24$aMusic.
615 24$aComplexity.
676   $a004
676   $a006.3
676   $a519
676   $a620
702   $aNierhaus$b Gerhard$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299238403321
996   $aPatterns of Intuition$92510156
997   $aUNINA