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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151204
Doc. No : ET22996
Main Entry : Carla Maria Reisch
Title Proper : ARTIFICIAL INTELLIGENCE FOR MUSICOLOGICAL RESEARCH
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This thesis demonstrates how artificial intelligence (AI) can be used formusicological research. The two main paradigms of -41, symbolic and connectionist,are examined for their possible applications in the field of musicology. In the case ofexpert systems, an extensive survey of knowledge-representation formalisms is given.Hybrid systems, which combine symbolic and connectionist approaches along withfuzzy logic, are also discussed.For the most part, A1 has been embraced by composers and theorists. Thisdoes not mean that A1 is my less usell in the field of musicology; it just has not beenexplored to the same extent. It is conceivable that musicologists-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46225.pdf
Title and statement of responsibility and : ARTIFICIAL INTELLIGENCE FOR MUSICOLOGICAL RESEARCH [Thesis]
 
 
 
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