# Simulation

`kaal:entity:simulation`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `simulation`. 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

3 claims across 3 works, 2019 to 2026.

**2019**

- [3402701-014](https://wulfkaal.github.io/claims/3402701-014) [failure/evidenced] *(failure mode)* -- A Basis-style bond scheme succeeds only while demand for the currency grows at a sufficient rate; the authors' simulations show it fails when demand is stagnant at equilibrium.
  > According to our simulations, this scheme will succeed as long as demand for the currency is growing at a sufficient rate, but it will fail if the demand is stagnant at equilibrium
  Craig Calcaterra, Wulf A. Kaal, Vadhindran K. Rao, Stable Cryptocurrencies - First Order Principles (2019). SSRN: https://ssrn.com/abstract=3402701

**2025**

- [5886442-029](https://wulfkaal.github.io/claims/5886442-029) [mechanism/argued] -- Path dependent institutional lock in loses its grip when agents can simulate the long run consequences of alternative institutional trajectories and migrate instantaneously to superior equilibria.
  > path-dependent lock-in effects—historically the most persistent source of institutional rigidity—lose their grip when agents can simulate the long-run consequences of alternative institutional trajectories and migrate instantaneously to superior equilibria
  Wulf A. Kaal, The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory (2025). SSRN: https://ssrn.com/abstract=5886442

**2026**

- [6269518-039](https://wulfkaal.github.io/claims/6269518-039) [condition/argued] -- The mechanism parameters are presented as design choices rather than derived from first principles, so empirical calibration through simulation and field experimentation is necessary to identify values that produce robust equilibria across diverse domains.
  > penalty magnitudes) are presented as design choices rather than derived from first principles. Empirical calibration through simulation and field experimentation will be necessary to identify parameter values that produce robust equilibria across diverse domain contexts.
  Wulf A. Kaal, Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance (2026). SSRN: https://ssrn.com/abstract=6269518

## 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/simulation.md | sha256sum

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