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商品描述
Description
In this original and provocative study of computational
creativity in music, David Cope asks whether computer programs can effectively
model creativity -- and whether computer programs themselves can create.
Defining musical creativity, and distinguishing it from creativity in other
arts, Cope presents a series of experimental models that illustrate salient
features of musical creativity. He makes the case that musical creativity
results from a process that he calls inductive association, and he contends that
such a computational process can in fact produce music creatively. Drawing on
the work of many other scholars and musicians -- including Douglas Hofstadter,
Margaret Boden, Selmer Bringsjord, and Kathleen Lennon -- Cope departs from the
views expressed by most with his contentions that computer programs can create
and that those who do not believe this have probably defined creativity so
narrowly that even humans could not be said to create.
After examining
the foundations of creativity and musical creativity, Cope describes a number of
possible models for computationally imitating human creativity in music. He
discusses such issues as recombinance and pattern matching, allusions, learning,
inference, analogy, musical hierarchy, and influence, and finds that these
experimental models solve only selected aspects of creativity. He then describes
a model that integrates these different aspects -- an inductive-association
computational process that can create music. Cope's writing style is lively and
nontechnical; the reader needs neither knowledge of computer programming nor
specialized computer hardware or software to follow the text.
The
computer programs discussed in the text, along with MP3 versions of all the
musical examples, are available at the author's website,
http://arts.ucsc.edu/faculty/cope, by clicking on the link to the
left.
David Cope is a composer and Professor of Music at the University
of California, Santa Cruz. He is the author of Virtual Music: Computer
Synthesis of Musical Style (MIT Press, 2004).
Table of Contents:
Preface
Sample Chapter - Download PDF (40 KB)vii
I
Background and
Principles
1
1
Definitions
Sample Chapter - Download PDF (440 KB)3
2
Background
35
3
Current Models of Musical
Creativity
51
II
Experimental Models of Musical
Creativity
85
4
Recombinance
87
5
Allusion
125
6
Learning, Inference, and
Analogy
177
7
Form and Structure
221
8
Influence
251
III
An Integrated Model of Musical
Creativity
269
9
Association
271
10
Musical Association
299
11
Integration
325
12
Aesthetics
345
Bibliography
Sample Chapter - Download PDF (56 KB)377
Appendix A: Experiments In Musical
Intelligence Final Work List
385
Appendix B: Database
Format
391
Appendix C: Ark Endings
393
Appendix D: Listing of Book
Programs
397
Appendix E: Virtual Beethoven
Symphony No. 10, Second Movement
399
Index
Sample Chapter - Download PDF (59
KB)
商品描述(中文翻譯)
描述
在這本關於音樂中計算創造力的原創且具有挑釁性的研究中,大衛·科普(David Cope)問道,計算機程序是否能有效地模擬創造力,以及計算機程序本身是否能創造。科普對音樂創造力進行了定義,並將其與其他藝術形式的創造力區分開來,提出了一系列實驗模型,以展示音樂創造力的顯著特徵。他認為音樂創造力是一個他稱之為歸納聯想的過程,並主張這樣的計算過程實際上能夠創造音樂。科普借鑒了許多其他學者和音樂家的工作,包括道格拉斯·霍夫斯塔德特(Douglas Hofstadter)、瑪格麗特·博登(Margaret Boden)、塞爾默·布林斯喬德(Selmer Bringsjord)和凱瑟琳·列儂(Kathleen Lennon),他與大多數人的觀點不同,認為計算機程序能夠創造,而那些不相信這一點的人可能將創造力定義得太狹窄,以至於連人類也無法說是在創造。
在檢視創造力和音樂創造力的基礎之後,科普描述了一些可能的模型,用於在計算上模仿人類音樂創造力。他討論了重新組合和模式匹配、典故、學習、推理、類比、音樂層次結構和影響等問題,並發現這些實驗模型僅解決了創造力的某些方面。然後,他描述了一個整合了這些不同方面的模型,即一個能夠創造音樂的歸納聯想計算過程。科普的寫作風格生動活潑且不涉及技術性,讀者不需要了解計算機編程,也不需要專門的計算機硬件或軟件知識來理解內容。
書中討論的計算機程序以及所有音樂示例的MP3版本可在作者的網站http://arts.ucsc.edu/faculty/cope上找到,點擊左側的鏈接即可。
大衛·科普是一位作曲家,也是加州大學聖塔克魯茲分校的音樂教授。他是《虛擬音樂:計算機合成音樂風格》(MIT Press,2004年)的作者。
目錄:
前言
第一部分:背景和原則
第1章:定義
第2章:背景
第3章:音樂創造力的現有模型
第二部分:實驗模型