Designics: A Science of Intentional Change

Design research has produced a rich set of theories explaining disparate aspects of design activity, including problem solving, contradiction resolution, conceptual expansion, and reflective practice. However, these theories often emphasize localized mechanisms and provide limited integration of why intervention becomes necessary, how it becomes possible, and why it remains constrained across domains. This paper introduces Designics, a scientific paradigm that defines design as intentional change (i.e., purposive environment transformation via intervention) in human–environment systems. Drawing on a 35-year synthesis of formal logic and empirical cognition, Designics is organized around a minimal unit of analysis—the Designer–Environment–Intervention (DEI) triad—and three governing laws that function as the first principles of the field. The Conflict Law states that conflict drives intervention: conflict (the mismatch between demands and resources) makes intervention necessary. The Perception Law states that perception enables intervention: perception forms the actionable perceived environment that makes intervention possible. The Capability Law states that capability constrains perception, and thereby constrains intervention: finite cognitive-affective capability constrains perception, rendering intervention effortful and recursive. Together, these laws explain design as a recursive process in which conflict makes intervention necessary, perception makes it possible, and finite capability makes it constrained, effortful, and open-ended. The paradigm integrates representation, reasoning, and empirical investigation through formal modeling principles and triangulated research instruments, including behavioral, physiological, and neurocognitive measures. By providing a stable unit of analysis, governing laws, and empirical pathways, Designics offers a scientific foundation for integrating existing design theories while enabling systematic investigation of intentional change across engineering, organizational, and socio-technical systems.