Simulating Responsive Architecture
Using Agent-Based Modeling





Goal:

To develop a method for spatial transformation based on changing human activity.


Responsiveness is the solution to architectural longevity, so how can we design for it?




In previous work, I designed a responsive concept and framework for architectural spaces as it relates to human activity and interactions.

The transformations of the building are responses to the habitual activities of humans. Increasing utilization of space could manifest in spatial emphasis. Changes in social interactions between groups could shift in spatial structure.

This simulation project, inspired by previous research centered on human activity as the driver of responsiveness, is developed with a behavioral economist.








Simulation Rules




Single Agent + Multi-Agent Rules



Wall Rules





Method





- Responsive Architecture Framework - 


Decision Diagram: Model of responsive ecosystem from sensor input to responsive changes in an iterative loop.Decision tree for responsive transformations, understanding step by step changes.

Reinforcement learning + ML: Decision tree and feedback loop to reinforce the responsiveness.



© Isa He
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