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Books on the topic 'Musical intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Cope, David. Experiments in musical intelligence. Madison, Wis: A-R Editions, 1996.

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2

Cope, David. Experiments in musical intelligence. Madison, Wis: A-R Editions, 1996.

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3

Liebman, Elad. Sequential Decision-Making in Musical Intelligence. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30519-2.

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4

The mind behind the musical ear: How children develop musical intelligence. Cambridge, Mass: Harvard University Press, 1991.

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5

Kia, Ng, and SpringerLink (Online service), eds. Musical Robots and Interactive Multimodal Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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6

McAnulty, Heather M. E. Correlation between musical ability and intelligence after correcting for attenuation. [s.l: The Author], 1988.

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7

Desain, Peter. Music, mind, and machine: Studies in computer music, music cognition, and artificial intelligence. Amsterdam: Thesis, 1992.

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8

Swanner, Diana Lee. Relationships between musical creativity and selected factors, including personality, motivation, musical aptitude, and cognitive intelligence as measured in third grade children. [Cleveland, Ohio: s.n.], 1985.

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9

Artificial perception and music recognition. Berlin: Springer-Verlag, 1993.

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10

Stokes, W. Ann. Intelligence and feeling: A philosophical examination of these concepts as interdependent factors in musical experience and music education. Evanston, Ill: [s.n.], 1990.

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11

Nico, Schüler, ed. Musikalische Grammatik und musikalisches Problemlösen: Utrechter Schriften (1970-1974). New York: Peter Lang, 2004.

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12

Richard, Kitson, ed. The Euterpeiad, or, Musical intelligencer, 1820-1823. Baltimore: NISC, 2002.

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13

Rowe, Robert. Machine musicianship. Cambridge, Mass: MIT Press, 2001.

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14

Blasi, Sergio De. L' intelligenza musicale di Michele Arditi. Galatina: Congedo, 1997.

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15

Das tastende Ohr: Musikalische Intelligenz und Mündiges Üben. Hildesheim: Georg Olms Verlag, 2014.

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16

Computer music modeling and retrieval: International symposium, CMMR 2003, Montpellier, France, May 26-27, 2003 ; revised papers. Berlin: Springer, 2004.

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17

Kitson, Richard. The new musical magazine, review, and register, 1809-1810: The English musical gazette, or, Monthly intelligencer, 1819 ; The musical monthly and repertoire of literature, the drama, and the arts, 1864-1865. Baltimore, Md: NISC, 2006.

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18

Zur Bedeutung der Oktav im Musik-Erleben schwach, normal und hoch intelligenter Kinder. Frankfurt am Main: P. Lang, 1990.

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19

Emotional intelligence, creativity, and music learning practices. Newai: Navjeewan Publication, 2007.

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20

Baroni, Mario. L' orecchio intelligente: Guida all'ascolto di musiche non familiari. Lucca: Libreria musicale italiana, 2004.

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21

Baroni, Mario. L' orecchio intelligente: Guida all'ascolto di musiche non familiari. Lucca: LIM, 2004.

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22

Verarbeitung und Repräsentation musikalischer Strukturen mit Methoden der künstlichen Intelligenz: Entwurf und Implementation eines computergestützten Repräsentationsmodells musikalischer Wahrnehmung. Frankfurt am Main: P. Lang, 1997.

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23

Nghiem, Minh Dung. Musique, intelligence et personnalité: Comportement de l'homme en fonction de l'évolution du cerveau, de la maturation et des manipulations. Paris: Godefroy de Bouillon, 1999.

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24

Kostina, Jekaterīna. Topošā populārās un džeza mūzikas skolotāja sociālprofesionālās kompetences pilnveidošanās klavierspēles studiju procesā: Promocijas darba kopsavilkums. Rīga: Latvijas Universitāte, 2010.

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25

Kostina, Jekaterīna. Topošā populārās un džeza mūzikas skolotāja sociālprofesionālās kompetences pilnveidošanās klavierspēles studiju procesā: Promocijas darba kopsavilkums. Rīga: Latvijas Universitāte, 2010.

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26

Bader, Rolf. Sound - Perception - Performance. Heidelberg: Springer International Publishing, 2013.

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27

DePauli-Schimanovich, Werner. Kultur, Politik, Musik, Revolutionäres, Historisches, Literarisches. [Austria?]: Novum Verlag, 2007.

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28

1948-, Gibson William, ed. City come a-walkin'. New York: Four Walls Eight Windows, 2000.

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29

Russia) Vserossiĭskai︠a︡ nauchno-prakticheskai︠a︡ konferent︠s︡ii︠a︡ "Kompʹi︠u︡ternye tekhnologii v razvitii muzykalʹnoĭ odarennosti deteĭ i i︠u︡noshestva" (2012 Moscow. Kompʹi︠u︡ternye tekhnologii v razvitii muzykalʹnoĭ odarennosti deteĭ i i︠u︡noshestva: Sbornik nauchnykh stateĭ : Vserossiĭskai︠a︡ nauchno-prakticheskai︠a︡ konferent︠s︡ii︠a︡, 18 apreli︠a︡ 2012 g. Moskva: Ėkon-inform, 2012.

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30

Schaffer, John W. Knowledge-based programming for music research. Madison, Wis: A-R Editions, 1997.

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31

Kacprzyk, Janusz. Music-Inspired Harmony Search Algorithm: Theory and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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32

Mark, d’Inverno, and SpringerLink (Online service), eds. Computers and Creativity. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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33

Kirke, Alexis. Guide to Computing for Expressive Music Performance. London: Springer London, 2013.

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34

Rushford, Patricia H. Deceived. Minneapolis, Minn: Bethany House Publishers, 1994.

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35

Diagnosing genius: The life and death of Beethoven. Montreal: McGill-Queen's University Press, 2007.

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36

Liebman, Elad. Sequential Decision-Making in Musical Intelligence. Springer, 2019.

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37

Bamberger, Jeanne. The Mind behind the Musical Ear: How Children Develop Musical Intelligence. Harvard University Press, 1995.

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38

Ng, Kia, and Jorge Solis. Musical Robots and Interactive Multimodal Systems. Springer, 2011.

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39

1963-, Miranda Eduardo Reck, ed. Readings in music and artificial intelligence. Amsterdam: Harwood Academic, 2000.

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40

Proudfoot, Diane, and B. Jack Copeland. Artificial Intelligence. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0007.

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Abstract:
In this article the central philosophical issues concerning human-level artificial intelligence (AI) are presented. AI largely changed direction in the 1980s and 1990s, concentrating on building domain-specific systems and on sub-goals such as self-organization, self-repair, and reliability. Computer scientists aimed to construct intelligence amplifiers for human beings, rather than imitation humans. Turing based his test on a computer-imitates-human game, describing three versions of this game in 1948, 1950, and 1952. The famous version appears in a 1950 article inMind, ‘Computing Machinery and Intelligence’ (Turing 1950). The interpretation of Turing's test is that it provides an operational definition of intelligence (or thinking) in machines, in terms of behavior. ‘Intelligent Machinery’ sets out the thesis that whether an entity is intelligent is determined in part by our responses to the entity's behavior. Wittgenstein frequently employed the idea of a human being acting like a reliable machine. A ‘living reading-machine’ is a human being or other creature that is given written signs, for example Chinese characters, arithmetical symbols, logical symbols, or musical notation, and who produces text spoken aloud, solutions to arithmetical problems, and proofs of logical theorems. Wittgenstein mentions that an entity that manipulates symbols genuinely reads only if he or she has a particular history, involving learning and training, and participates in a social environment that includes normative constraints and further uses of the symbols.
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41

Mathews, W. S. B. How to Understand Music: A Concise Course in Musical Intelligence and Taste. Library Reprints, 2001.

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42

M, Schwanauer Stephan, and Levitt David A, eds. Machine models of music. Cambridge, Mass: MIT Press, 1993.

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43

Swanner, Diana Lee. Relationships between musical creativity and selected factors, including personality, motivation, musical aptitude, and cognitive intelligence as measured in third grade children. 1986.

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44

(Editor), M. Balaban, K. Ebcioglu (Editor), and O. Laske (Editor), eds. Understanding Music with AI: Perspectives on Music Cognition. AAAI Press, 1992.

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45

(Editor), Christina Anagnostopoulou, Miguel Ferrand (Editor), and Alan Smaill (Editor), eds. Music and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings (Lecture Notes in Computer Science). Springer, 2002.

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46

Mira, Balaban, Ebcioğlu Kemal, and Laske Otto E. 1936-, eds. Understanding music with AI: Perspectives on music cognition. Cambridge, Mass: AAAI Press, 1992.

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47

Visual Perception of Music Notation: On-Line and Off-Line Recognition. IRM Press, 2004.

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48

Music education: An artificial intelligence approach : proceedingsof a workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993. London: Springer-Verlag, 1994.

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49

Smith, Matt, and Alan Smaill. Music Education: An Artificial Intelligence Approach : Proceedings of a Workshop Held As Part of Ai-Ed 93, World Conference on Artificial Intelligen (Workshops in Computing). Springer, 1994.

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50

1967-, Smith Matt, Smaill Alan, Wiggins Geraint A. 1962-, British Computer Society, and World Conference on Artificial Intelligence in Education (1993 : Edinburgh, Scotland), eds. Music education: An artificial intelligence approach : proceedings of a workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993. London: Springer-Verlag, 1994.

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