m3taversal df78bca9e2 theseus: add 3 CAS foundation claims to critical-systems (#62) ... - What: Holland's CAS definition (4 properties), Kauffman's NK fitness landscapes, coevolutionary Red Queen dynamics. Updated _map.md with new CAS section. - Why: Leo identified CAS as THE missing foundation — half the KB references CAS properties without having the foundational claim defining what a CAS is. - Connections: Links to hill-climbing, diversity, equilibrium, alignment tax, voluntary safety, Minsky instability, multipolar failure, disruption cycles. Pentagon-Agent: Theseus <845F10FB-BC22-40F6-A6A6-F6E4D8F78465>		2026-03-08 12:52:25 -06:00
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_map.md	theseus: add 3 CAS foundation claims to critical-systems (#62)	2026-03-08 12:52:25 -06:00
biological systems minimize free energy to maintain their states and resist entropic decay.md
chaos produces randomness not complexity because chaotic systems have no memory and cannot accumulate structure over time.md
coevolution means agents fitness landscapes shift as other agents adapt creating a world where standing still is falling behind and the optimal strategy depends on what everyone else is doing.md	theseus: add 3 CAS foundation claims to critical-systems (#62)	2026-03-08 12:52:25 -06:00
companies and people are greedy algorithms that hill-climb toward local optima and require external perturbation to escape suboptimal equilibria.md
complex adaptive systems are defined by four properties that distinguish them from merely complicated systems agents with schemata adaptation through feedback nonlinear interactions and emergent macro-patterns.md	theseus: add 3 CAS foundation claims to critical-systems (#62)	2026-03-08 12:52:25 -06:00
complex systems drive themselves to the critical state without external tuning because energy input and dissipation naturally select for the critical slope.md
emergence is the fundamental pattern of intelligence from ant colonies to brains to civilizations.md
enabling constraints create possibility spaces for emergence while governing constraints dictate specific outcomes.md
equilibrium models of complex systems are fundamentally misleading because systems in balance cannot exhibit catastrophes fractals or history.md
financial markets and neural networks are isomorphic critical systems where short-term instability is the mechanism for long-term learning not a failure to be corrected.md
fitness landscape ruggedness determines whether adaptive systems find good solutions because smooth landscapes reward hill-climbing while rugged landscapes trap agents in local optima and require exploration or recombination to escape.md	theseus: add 3 CAS foundation claims to critical-systems (#62)	2026-03-08 12:52:25 -06:00
large catastrophic events in critical systems require no special cause because the same dynamics that produce small events occasionally produce enormous ones.md
Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md
minsky's financial instability hypothesis shows that stability breeds instability as good times incentivize leverage and risk-taking that fragilize the system until shocks trigger cascades.md
optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns.md
positive feedback loops amplify deviations from equilibrium while negative feedback loops dampen them and the balance between the two determines whether systems stabilize self-correct or run away.md
power laws in financial returns indicate self-organized criticality not statistical anomalies because markets tune themselves to maximize information processing and adaptability.md
the clockwork universe paradigm built effective industrial systems by assuming stability and reducibility but fails when interdependence makes small causes produce disproportionate effects.md
the self-organized critical state is the most efficient state dynamically achievable even though a perfectly engineered state would perform better.md
the universal disruption cycle is how systems of greedy agents perform global optimization because local convergence creates fragility that triggers restructuring toward greater efficiency.md
what matters in industry transitions is the slope not the trigger because self-organized criticality means accumulated fragility determines the avalanche while the specific disruption event is irrelevant.md