Sciences cognitives

Champs d’étude [CdE]

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Le terme sciences cognitives désigne les recherches interdisciplinaires étudiant les principes d’acquisition et d’utilisation de la connaissance. Différentes disciplines y contribuent comme l’intelligence artificielle, la psychologie, la linguistique, la philosophie, l’anthropologie, les neurosciences et l’éducation. De plus, le mouvement des sciences cognitives est très important et très diversifié puisqu’il défend plusieurs points de vue.

Les sciences cognitives étudient les domaines de compréhension de la cognition humaine, les détails des processus cognitifs humains et la modélisation de ces processus. Il y a cinq domaines importants dans les sciences cognitives : la représentation du savoir, le langage, l’apprentissage, la pensée et la perception. (Source - Eysenck, M.W. ed. (1990). The Blackwell Dictionary of Cognitive Psychology. Cambridge, Massachusetts: Basil Blackwell Ltd. Extrait de : http://www.psych.ualberta.ca/ mike/Pearl_Street/Dictionary/contents/C/cognitive_science.html)

 

See also

Intelligence artificielle

 

Links

UNESCO DigiArts

- Digital Music online course: Essay in 12 Paragraphs - Sounds of the brain ( English )

 

Bibliography:

English - Español - Français - Deutch - Italiano

Alphabetical order - Chronological order

Bonardi, Alain, Rousseaux, Francis (2004). Un exemple de médiation numérique opératique : l’opéra interactif sur CD-ROM {Virtualis}
Collins, Nick (2002c). Impossible Music
Cook, Perry (Ed.) (2001b). Music, Cognition and Computerized Sound: An Introduction to Psychoacoustics
Corino, Gianni, Miranda, Eduardo Reck (2003). Digital Music: online tutorials on computer music
Di Scipio, Agostino (1995a). Inseparable Models of Materials and of Musical Design in Electroacoustic Music
Di Scipio, Agostino (1995b). Centrality of Techné for an Aesthetic Approach on Electroacoustic Music
Doati, Roberto, Vidolin, Alvise (1986). Nuova Atlantide. Il continente della musica elettronica 1900-1986 (New Atlantis. The electronic music continent 1900-1986)
Kim, Jin Hyun, Seifert, Uwe (2006). Embodiment: The body in algorithmic sound generation
Kugel, Peter (1990). Myhill’s Thesis: There’s More than Computing in Musical Thinking
Laske, Otto (1978). Considering Human Memory in Designing User Interfaces for Computer Music
Laske, Otto E. (1977). Toward a Theory of Interfaces for Computer Music Systems
Levitin, Daniel J., McAdams, Stephen, Adams, Robert L. (2002). Control Parameters for Musical Instruments: A foundation for new mappings of gesture to sound
Milicevic, Mladen (1999b). How Objective is Music?
Morrison, Kenneth (1999). Toward the Creation of an {Intelligent} Machine Improvisor
Newcomb, Robert Spalding (1998). Music in the Air: A theoretical model and software system for music analysis and composition
Purwinds, Hendrik, Blankertz, Benjamin, Obermayer, Klaus (2000). Computing Auditory Perception
Rice, Tom (2002). Soundselves: An Acoustemology of Sound and Self within the Edinburgh Royal Infirmary
Roads, Curtis (1996b). Materials and Montage in {Clang-tint}
Spiegel, Laurie (1999). Music as Mirror of Mind
Supper, Martin (1997). Elektroakustische Musik und Computermusik; Geschichte-Ästhetik-Methoden-Systeme (Electroacoustic Music and Computer Music: History, Aesthetics, Methods, Systems)
Tabor, Jerry (1999). A Pioneer in Composition and Research
Tanzi, Dante (2004). Information Technology and Communication of Musical Experience: Categories, conflicts and intersections
Whalley, Ian (2000). Applications of System Dynamics Modelling to Computer Music

 

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