Kevin Sullivan
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Behavioral Agency:  computational design  methods in architecture

Challenge – 

The challenge will be to create an agent-based behavioral model, document the workflow and compare this to a traditional linear workflow.  The research explores the methodologies of computational design as it relates to the larger field of architecture and how computational workflows can become integrated into today’s design practice.  The importance of this challenge is the fact that computation has begun to have an influence on the industry. This is a relativity new addition to the workflow and the methodologies that most designers know today.

Method – 

The research framework takes a two-pronged approach: first a detailed examination of the computational method and second an analysis of this process versus a typical linear workflow. The computational goals are to seek the purpose of the design, the abstract computation, the outputting prototypes, and the resulting spatial qualities.  The research will focus on computational design thinking using a foundation in the mathematical principles of chaos and complexity.  Using the documented workflow of the computational methods a final comparison and analysis is drawn against a typical linear workflow project previously developed by the author.

Results – 

The design question of this thesis is an investigation of how the computational method is developed and integrated at all levels of design.  The analysis is a personal reflection on these new methodologies as they compare to previous research done both in and out of the classroom.  Therefore, this research is proposed as a test of computationally integrated design potential in the field of architecture.