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From canvas to computer: Harold Cohe...
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Morbey, Mary Leigh.
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From canvas to computer: Harold Cohen's artificial intelligence paradigm for art making.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
From canvas to computer: Harold Cohen's artificial intelligence paradigm for art making./
作者:
Morbey, Mary Leigh.
面頁冊數:
252 p.
附註:
Adviser: Terry M. Barrett.
Contained By:
Dissertation Abstracts International53-09A.
標題:
Art History. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9227338
From canvas to computer: Harold Cohen's artificial intelligence paradigm for art making.
Morbey, Mary Leigh.
From canvas to computer: Harold Cohen's artificial intelligence paradigm for art making.
- 252 p.
Adviser: Terry M. Barrett.
Thesis (Ph.D.)--The Ohio State University, 1992.
The concluding chapter discusses implications of a unified reading of Cohen's art for art education, art history and art criticism, and suggests further projects arising from the research. Appendix B contains Harold Cohen's response to the study.Subjects--Topical Terms:
635474
Art History.
From canvas to computer: Harold Cohen's artificial intelligence paradigm for art making.
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The concluding chapter discusses implications of a unified reading of Cohen's art for art education, art history and art criticism, and suggests further projects arising from the research. Appendix B contains Harold Cohen's response to the study.
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Harold Cohen is world renowned for his modernist paintings of the 1960s. Much art historical documentation exists concerning these works. In contrast, he is lesser known for his computer generated imagery that has been his focus since 1968, and these works have received little critical attention. This study focuses on this art historical gap.
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This dissertation will trace the development of Cohen's career from his training at the Slade School of Art, to his success as a modernist painter, to his more current computer imagery. Further, it will attempt to locate a central theme that unifies his work, thus resolving the historical gap.
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An interdisciplinary contextual methodology is employed to investigate the varied components of Cohen's work. It includes style analysis from art history, interpretation from art history and art criticism, history and theory of modern art, contemporary art, and computer related art, and theories of artificial intelligence from computer science. A three category contextual model, considering internal, original, and external contexts, organizes the diverse components.
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The study posits a unified reading of Cohen's imagery based on his continuing investigation of a question raised by mentor and art historian Rudolf Wittkower. Wittkower was interested in discovering how visual symbols yield meaning to the viewer. Cohen took up this inquiry and the study demonstrates how his exploration began during his Slade years, continued through his paintings of the 1960s, and led to the development of computer artist AARON. The AARON program, based in artificial intelligence, provided an avenue through which Cohen could build a theory that explores how visual structure yields meaning to the viewer. Program AARON embodies Cohen's developing theory of representation that hypothesizes that all humans share similar cognitive principles in their mental architecture that shape the beginning stage of art making. Building on this premise, AARON currently simulates a more sophisticated level of art making that renders plants and people.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9227338
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