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Shaping Space as Information: A Conceptual Framework for New Media Architectures

Abstract

Starting from the notion that every material object/structure embodies the information that enables its use, the computational platform facilitates exploring generative information constructs as ever-changing dynamic structures, comparable to the self-organizing systems found in nature.

A study of forms, patterns, and spaces has been undertaken for creating generative media artworks designed for amplifying the reciprocal relationship between an environment that shapes its content and content that shapes its environment.

A main focus of this research is the generation of unique forms of architecture using agent-based behaviors controlled by self-organizing systems. These unique forms of architecture determine, and are, in turn, determined by, the shape of virtual worlds/environments.

Another important focus of this research is the investigation of software platforms that provide the fundamental instruments that produce the content, and that help make and shape the virtual worlds/environments.

In a series of designs, exhibitions, and studies, a New Media Architectural Methodology is presented.

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