Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Fine.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 160,47
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
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EUR 215,71
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In den WarenkorbHardcover. Zustand: Brand New. 474 pages. 6.00x1.06x9.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
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In den WarenkorbZustand: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 1009378961 ISBN 13: 9781009378963
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive and unexpected approach to the visual arts, grounded in the theories of complexity and dynamical systems. Paul van Geert shows how complexity and dynamical systems theories, originally developed in mathematics and physics, offer a novel perspective through which to view the visual arts. Diverse aspects of visual arts as a practice, profession, and historical framework are covered. A key focus lies in the unique characteristics of complex systems: feedback loops bridging short- to long-term temporal scales, self-organizing into creative emergent properties; dynamics which may be applied to a wide range of topics. By synthesizing theory and empirical evidence from diverse fields including philosophy, psychology, sociology, art history, and economics, this pioneering work demonstrates the utility of simulation models in deciphering a surprisingly wide range of phenomena such as artistic (super)stardom and shifts within art historical paradigms.