A practice-based investigation into how computational technologies transform the epistemic conditions of landscape design. The dissertation argues that adaptive epistemology — design propositions tested in situ through iterative, feedback-based knowledge production — is not merely supported by computation, but fundamentally reshaped by it. Through a decade of projects engaging ecological complexity, embedded sensing, and generational robotics, this work develops a new framework for understanding how designers know and act in territories that exceed prediction.
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