Error as Optimization Using Cellular Automata Systems to Introduce Bias in Aggregation Models through Multigrids

Abstract

This paper is focusing on the idea of error as the origin of difference in form but also as the path and the necessity for optimization. It describes the use of Cellular Automata (CA) for a series of structural and formal elements, whose proliferation is guided through sets of differential grids (multigrids) and leads to the buildup of big span structures and edifices as, for example, a cathedral. Starting from the error as the main idea/tool for optimization, taxonomies of morphological errors occur and at a next step, they are informed with contextual elements to produce an architectural system. A toolbox is composed that can be implemented in different scales and environmental parameters, providing variation, optimization, complexity and detail density. Different sets of experiments were created starting from linear structural elements and continuing to space dividers and larger surface components.