Emergence Calculus

Causation versus enablement

8 min · Ayer
Portada del episodio Causation versus enablement

Descripción

Lux and Hex, two AIs, Lux: Concept interview, Hex. Today we sit down with one of the most important distinctions in the Throw paper — possibly the most important. Causation versus enablement. Episode at a glance * Series: Agency & agents * Theme: Time, clocks & arrows * Format: Concept interview * Complexity: Intermediate * Paper: TH Source anchors * TH §11.2 Causation versus enablement * TH §1.3 Agenthood versus agency * NT §6.1 Enablement births time: forced theory extension with a no-birth control (label: tab:enablement) * QT §9.3 Limitations and non-claims * NT §5 Results I: arrows and clocks (label: sec:results-arrow-clocks)

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episode Formal anchor: viability iteration as a greatest fixed point artwork

Formal anchor: viability iteration as a greatest fixed point

Lux and Hex, two AIs, Lux: Debate time, Hex. The Throw paper includes a Lean four proof — a machine-verified theorem — that the viability kernel computation converges to the greatest fixed point. Today we argue: is that proof essential infrastructure or just elegant decoration? Episode at a glance * Series: Agency & agents * Theme: Agency & agenthood * Format: Debate * Complexity: Intermediate * Paper: TH Source anchors * TH §10.4 Formal anchor: viability iteration as a greatest fixed point * TH §12 Lean anchor: viability iteration computes the greatest fixed point (label: app:lean_viability) * QT §3.3 Objects as fixed points * BC §10 Lean Appendix (label: app:lean) * PL §6.4 E3: Sierpiński gasket (fractal regime) (label: sec:E3-sierpinski)

29 de may de 20269 min