JOURNAL ARTICLE

Arte Programmata: Freedom, Control, and the Computer in 1960s Italy.

  • Published In: Journal of Design History, 2024, v. 37, n. 1. P. 99 1 of 3

  • Database: America: History and Life with Full Text 2 of 3

  • Authored By: Fornari, Davide 3 of 3

Abstract

The article discusses a book titled "Arte Programmata" by Lindsay Caplan, which explores the art movement that emerged in Italy in the 1960s. The book examines the relationship between freedom and control in the artworks and the socio-political context of the era. It situates the efforts of Enzo Mari, Gruppo T, Bruno Munari, and Gruppo N within national and international debates in art, cybernetics, information theory, and politics. The book includes personal accounts from surviving members of the Programmed art movements and highlights cultural differences in the debates. However, the author sometimes makes generalized statements about the artists, and the book lacks a deeper study of female figures and gender issues. The book also explores the role of design as an alternative strategy after the decline of Programmed art. The conclusion identifies Futurism as another movement that intertwines art and politics, but it overlooks the political engagement of Bruno Munari and the social turmoil of the Years of Lead. Overall, the book provides a comprehensive understanding of Italian Programmed art but focuses more on political debates than the artists themselves. [Extracted from the article]

Additional Information

  • Source:Journal of Design History. 2024/03, Vol. 37, Issue 1, p99
  • Document Type:Article
  • Subject Area:Arts and Entertainment
  • Publication Date:2024
  • ISSN:0952-4649
  • DOI:10.1093/jdh/epad013
  • Accession Number:177216265
  • Copyright Statement:Copyright of Journal of Design History is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.