Computational Aesthetic Evaluation: Past and Future
Inhaltsverzeichnis
Reference
Philip Galanter: Computational Aesthetic Evaluation: Past and Future. In: McCormack & d’Inverno: Computers and Creativity, Springer, Berlin, 2012, 255-293
DOI
http://link.springer.com/chapter/10.1007/978-3-642-31727-9_10
Abstract
Human creativity typically includes a self-critical aspect that guides innovation towards a productive end. This chapter offers a brief history of, and outlook for, computational aesthetic evaluation by digital systems as a contribution towards potential machine creativity. First, computational aesthetic evaluation is defined and the difficult nature of the problem is outlined. Next, a brief history of computational aesthetic evaluation is offered, including the use of formulaic and geometric theories; design principles; evolutionary systems including extensions such as coevolution, niche construction, agent swarm behaviour and curiosity; artificial neural networks and connectionist models; and complexity models. Following this historical review, a number of possible contributions towards future computational aesthetic evaluation methods are noted. Included are insights from evolutionary psychology; models of human aesthetics from psychologists such as Arnheim, Berlyne, and Martindale; a quick look at empirical studies of human aesthetics; the nascent field of neuroaesthetics; new connectionist computing models such as hierarchical temporal memory; and computer architectures for evolvable hardware. Finally, it is suggested that the effective complexity paradigm is more useful than information or algorithmic complexity when thinking about aesthetics.
Extended Abstract
Bibtex
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http://philipgalanter.com/downloads/galanter_computational_aesthetic_evaluation_springer.pdf
