Machine Models of Music (MIT Press), Levitt, David,Schwanauer, Stephan, Good Boo

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Condition:
Good
“No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. ”... Read moreabout condition
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. ...
Book Title
Machine Models of Music (MIT Press)
ISBN
9780262193191
Category

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262193191
ISBN-13
9780262193191
eBay Product ID (ePID)
67614

Product Key Features

Number of Pages
556 Pages
Language
English
Publication Name
Machine Models of Music
Subject
Intelligence (Ai) & Semantics, Digital Media / Audio
Publication Year
1993
Type
Textbook
Subject Area
Computers
Author
Stephan M. Schwanauer
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
34.9 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
92-017179
Dewey Edition
20
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
781.34
Synopsis
Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research., Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research. Machine Models of Music brings together representative models ranging from Mozart's "Musical Dice Game" to a classic article by Marvin Minsky and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.Major sections of the book take up pioneering research in generate-and-test composition (Lejaren Hiller, Barry Brooks, Jr., Stanley Gill); composition parsing (Allen Forte, Herbert Simon, Terry Winograd); heuristic composition (John Rothgeb, James Moorer, Steven Smoliar); generative grammars (Otto Laske, Gary Rader, Johan Sundberg, Fred Lerdahl); alternative theories (Marvin Minsky, James Meehan); composition tools (Charles Ames, Kemal Ebcioglu, David Cope, C. Fry); and new directions (David Levitt, Christopher Longuet-Higgins, Jamshed Bharucha, Stephan Schwanauer).Stephan Schwanauer is President of Mediasoft Corporation. David Levitt is the founder of HIP Software and head of audio products at VPL Research.
LC Classification Number
ML74.3.M3 1993

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