Understanding music with AI : perspectives on music cognition
معرفی کتاب «Understanding music with AI : perspectives on music cognition» نوشتهٔ Balaban M., Ebcioglu E., Laske O. (eds.)، منتشرشده توسط نشر AAAI Press : MIT Press در سال 1992. این کتاب در فرمت djvu، زبان انگلیسی ارائه شده است.
This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity.Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs. Each chapter is put into perspective by the editors, and empirical investigations are framed by a discussion of the nature of cognitive musicology and of epistemological problems of modeling musical action.The contributions, drawn from two international workshops on AI and Music held in 1988 and 1989, are grouped in seven sections. Topics in these sections take up two views of the nature of cognitive musicology (Kugel, Laske), principles of modeling musical activity (Balaban, Bel, Blevis, Glasgow and Jenkins, Courtot, Smoliar), approaches to music composition (Ames and Domino, Laske, Marsella, Riecken), music analysis by synthesis (Cope, Ebcioglu, Maxwell), realtime performance of music (Bel and Kippen, Ohteru and Hashimoto), music perception (Desain and Honing, Jones, Miller and Scarborough, Linster), and learning/tutoring (Baker, Widmer).M. Balaban is Senior Lecturer in the Department of Mathematics and Computer Science at Ben-Gurion University. K. Ebcioglu is Research Scientist in the Computer Sciences Department, IBM Thomas J. Watson Research Center. 0. Laske is a composer and President of NEWCOMP, Inc., The New England Computer Arts Association, Inc. This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity. Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs. Each chapter is put into perspective by the editors, and empirical investigations are framed by a discussion of the nature of cognitive musicology and of epistemological problems of modeling musical action. The contributions, drawn from two international workshops on AI and Music held in 1988 and 1989, are grouped in seven sections. Topics in these sections take up two views of the nature of cognitive musicology (Kugel, Laske), principles of modeling musical activity (Balaban, Bel, Blevis, Glasgow and Jenkins, Courtot, Smoliar), approaches to music composition (Ames and Domino, Laske, Marsella, Riecken), music analysis by synthesis (Cope, Ebcioglu, Maxwell), realtime performance of music (Bel and Kippen, Ohteru and Hashimoto), music perception (Desain and Honing, Jones, Miller and Scarborough, Linster), and learning/tutoring (Baker, Widmer). Artificial Intelligence And Music -- Beyond Computational Musicology -- Representing Listening Behavior -- Symbolic And Sonic Representations Of Sound -object Structures -- Music Structures -- On Designing A Typed Music Language -- Logical Representation And Induction For Computer Assisted Composition -- Cybernetic Composer -- Wolfgang, A System Using Emoting Potentials To Manage Musical Design -- On The Application Of Problem Reduction Search To Automated Composition -- The Observer Tradition Of Knowledge Acquisition -- An Expert System For Harmonizing Chorales In The Style Of J.s. Bach -- An Expert System For Harmonic Analysis Of Tonal Music -- On The Algorithmic Representation Of Musical Style -- Bol Processor Grammars -- A New Approach To Music Through Vision -- On Analyzing And Representing Musical Rhythm -- On The Perception Of Meter -- The Quantization Problem -- An Architecture For An Intelligent Turoring System -- A Knowledge Intensive Approach To Machine Learning In Tonal Music. Edited By Mira Balaban, Kemal Ebcioğlu, And Otto Laske. Includes Bibliographical References And Index. Rentré à l'adolescence dans un orphelinat, les qualités surnaturelles de Jonah vont susciter l'intérêt d'une mystérieuse société secrète. Quand le jeune garçon disparaît soudainement, ses amis s'enfuient pour le retrouver. (www.payot.ch)
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