Custom Senses of Order in Architectural Design: Formal and Intuitive Modes of Visual Reasoning

Date

2023-2-24

Author

Kızılcan, Egemen Berker

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This thesis provides a conceptual framework regarding the notion of visuality in human and machine actors within the context of contemporary computational design research involving machine intelligence. It conceptualizes the notions of custom and artificial sense of order in machinic actors to denote a contrast with the notion of a natural sense of order as conceived by Ernst Gombrich. The study scrutinizes different visual cognition capacities provided by the probabilistic nature of learning agents in contrast to humans, specifically focusing on deep learning and generative adversarial networks. It aims to reframe and reinterpret the theory of architectural design in relation to aspects of rational/intuitive modes of decision-making, influence of subjective histories of actors on design processes, nature of computation and generative/probabilistic techniques. The major frame of reference in this thesis refers to interrelationships established between design intention and form with respect to information and representation. The theoretical discussion of the thesis is tested in experimental approaches taken with deep convolutional generative adversarial networks.

Subject Keywords

sense of order, generative adversarial networks, visual intelligence, design intention, form

URI

https://hdl.handle.net/11511/102791

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Graduate School of Natural and Applied Sciences, Thesis