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Every thing must go: fugitive assemblies in cybernetics and artificial intelligence : a thesis in Fine Arts – Sculpture
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Every thing must go: fugitive assemblies in cybernetics and artificial intelligence : a thesis in Fine Arts – Sculpture

Daniel S. DeLuca
Master of Fine Arts (MFA), University of Massachusetts Dartmouth
2022
DOI:
https://doi.org/10.62791/20210

Abstract

In the last seventy-five years humans have grown both the cache of data and algorithmic tools to usher in a new era of cybernetics. As global systems become increasingly dependent on technical infrastructures and propel us into a hybrid world of biological and computational entities, a deep understanding of the relationship between objects, representation, and computation is critical. Every Thing Must Go provides a model for understanding the nature of object and subject formation and representation through materialist ontologies, aesthetics, and artificial intelligence. Utilizing a cybernetic and systems-based approach to iterative and interactive performance-installation, the project has accumulated over a period of three years, seven installations, and numerous studio experiments. The visual language emerges in direct response to a location through a combination of assemblages of scavenged materials, opportunities for viewer participation, and the restructuring of architectural elements. Components and design elements from one iteration feed into the next which helps characterize the work as an indeterminate, contingent, and fugitive practice.
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DeLuca D.S. CVPA MFA Thesis 20229.60 MBDownloadView
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