Key points are not available for this paper at this time.
This paper develops Structural Intelligence (SI) at the engineering boundary. It argues that SI is not a theory of robotics hardware, morphological computation, or neuromorphic design, but it can function as a disciplined evaluative grammar for embodied systems and infrastructural control. The paper distinguishes SI from neighboring engineering discourses and identifies what transfers cleanly into robotics and related domains: contact as reality-coupled exposure, answerability as the possibility that contradiction can still alter system behavior, revision as structural reorganization rather than patching, burden as the path by which cost is absorbed or exported, and cheap coherence as demo-stability without field-stability. It also marks what does not transfer cleanly, especially witness, somatic burden, psyche, projection, and the human capacity to bear moral, relational, or existential consequence. The paper argues that SI is most useful in robotics, clinical software, logistics, and public systems when it shifts evaluation from performance alone to answerable control. Its broader contribution is to build a careful bridge into engineering without collapsing SI into engineering analogy.
Building similarity graph...
Analyzing shared references across papers
Loading...
Vladisav Jovanovic (Wed,) studied this question.
www.synapsesocial.com/papers/6a06b928e7dec685947abbba — DOI: https://doi.org/10.5281/zenodo.20155286
Vladisav Jovanovic
Building similarity graph...
Analyzing shared references across papers
Loading...