Residuality Theory
summary
Residuality theory claims software should be designed as a network of residues — small architectures each built to survive specific stressors discovered by random simulation — then merged via contagion analysis using adjacency and incidence matrices to lower N and K and raise P so attractor counts collapse (Kauffman style: n=100,000 → ~317 attractors). The method builds residues (example: EV charging network using automatic license plate recognition, per‑minute invoicing, cameras) and measures improvement with a binomial sign test showing the residual architecture survives many unknown stressors.
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chapters (7)
- 0:00The architect's challenge
- 1:45Complexity and simulation
- 9:42Kauffman networks and NKP
- 16:16Introducing residuality
- 25:22Practical case study
- 30:29Residual analysis method
- 45:30Q&A and concluding thoughts
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