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Beyond the Creative Species (Making Machines That Make Art and Music)
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Product Details
Author:
Oliver Bown
Format:
Hardcover
Pages:
416
Publisher:
MIT Press (February 23, 2021)
Language:
English
ISBN-13:
9780262045018
ISBN-10:
026204501X
Weight:
25oz
Dimensions:
6.38" x 9.31" x 0.98"
Case Pack:
20
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T170603_155746830-20260405.xml
Folder:
RandomHouse
List Price:
$45.00
As low as:
$34.65
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
The MIT Press
Overview
A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music.
As algorithms get smarter, what role will computers play in the creation of music, art, and other cultural artifacts? Will they be able to create such things from the ground up, and will such creations be meaningful? In Beyond the Creative Species, Oliver Bown offers a multidisciplinary examination of computational creativity, analyzing the impact of advanced generative technologies on art and music. Drawing on a wide range of disciplines, including artificial intelligence and machine learning, design, social theory, the psychology of creativity, and creative practice research, Bown argues that to understand computational creativity, we must not only consider what computationally creative algorithms actually do, but also examine creative artistic activity itself.
As algorithms get smarter, what role will computers play in the creation of music, art, and other cultural artifacts? Will they be able to create such things from the ground up, and will such creations be meaningful? In Beyond the Creative Species, Oliver Bown offers a multidisciplinary examination of computational creativity, analyzing the impact of advanced generative technologies on art and music. Drawing on a wide range of disciplines, including artificial intelligence and machine learning, design, social theory, the psychology of creativity, and creative practice research, Bown argues that to understand computational creativity, we must not only consider what computationally creative algorithms actually do, but also examine creative artistic activity itself.
