Название: Attentional Engines: A Perceptual Theory of the ArtsАвтор: William P. Seeley
Издательство: Oxford University Press
Год: 2020
Формат: PDF
Размер: 15 Мб
Язык: английский / English
What is it about art that can be so captivating? How is it that we find value in the often odd and abstract objects and events we call artworks? William P. Seeley proposes that artworks are attentional engines. They are artifacts that have been intentionally designed to direct attention to critical stylistic features that reveal their point, purpose, or meaning. In developing this view, Seeley argues that there is a lot we can learn about the value of art from interdisciplinary research focused on our perceptual engagement with artworks.
Recent breakthroughs in cognitive science and behavioral science can explain how we recognize artworks and how we differentiate them from more quotidian artifacts. Seeley pushes this line of reasoning, showing how cognitive science can help reveal the way artworks function as a unique source of value. He argues that our interactions with artworks draw on a broad base of shared artistic and cultural norms constitutive of different categories of art. Cognitive systems integrate this information into our experience of art, guiding attention and shaping what we perceive. Our understanding and appreciation of artworks is therefore carried in our perceptual experience of them.
Attentional Engines explores the pitfalls and potential of this interdisciplinary strategy for understanding art. It articulates a cognitivist theory of art grounded in perceptual psychology and neuroscience and demonstrates its application to a range of puzzles in the philosophy of the arts. This includes questions about the nature of depiction, the role played by metakinesis in dance appreciation, the nature of musical expression, and the power of movies. The interdisciplinary and provocative theories Seeley presents will appeal to scholars and students interested in aesthetics, philosophy of mind, philosophy of art, and cognitive science.