# Optimization

`kaal:entity:optimization`

**Status.** derived

This node is assembled mechanically from the 4 claims that carry the concept tag `optimization`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

4 claims across 3 works, 2013 to 2026.

**2013**

- [2273857-014](https://wulfkaal.github.io/claims/2273857-014) [condition/argued] -- The regulatory sine curve itself may be inevitable, but its costly and suboptimal regulatory effects can nonetheless be limited.
  > While the sine curve may be inevitable, its costly and suboptimal regulatory effects can be limited.
  Wulf A. Kaal, Dynamic Regulation of the Financial Services Industry (2013). SSRN: https://ssrn.com/abstract=2273857
- [2273857-041](https://wulfkaal.github.io/claims/2273857-041) [design/argued] -- Business and regulatory cycles will persist, but optimizing the relationship between indicators of financial crises and the regulatory sine curve, especially the timing of regulatory responses, could soften some of the effects of crises.
  > While business and regulatory cycles are bound to persist, optimizing the relationship between indicators for financial crises and the regulatory sine curve, especially the timing of regulatory responses to crises, could soften some of the effects of regulatory crises.
  Wulf A. Kaal, Dynamic Regulation of the Financial Services Industry (2013). SSRN: https://ssrn.com/abstract=2273857

**2025**

- [5886442-015](https://wulfkaal.github.io/claims/5886442-015) [mechanism/argued] -- Where human managers satisfice because further search is cognitively costly, AI2AI agents continue searching until the global optimum is reached, because additional computation is essentially free.
  > Where human managers satisfice because further search is cognitively costly, AI2AI agents continue searching until the global optimum is reached—because additional computation is essentially free.
  Wulf A. Kaal, The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory (2025). SSRN: https://ssrn.com/abstract=5886442

**2026**

- [6421319-016](https://wulfkaal.github.io/claims/6421319-016) [mechanism/argued] -- Human managers satisfice because further search is cognitively costly, whereas AI agents continue searching until the global optimum is reached because additional computation is essentially free, which removes bounded rationality from the economic substrate.
  > Where human managers satisfice because further search is cognitively costly, AI2AI agents continue searching until the global optimum is reached because additional computation is essentially free.
  Wulf A. Kaal, The Collapse of Scarcity Economics (2026). SSRN: https://ssrn.com/abstract=6421319

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/optimization.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.