# Possibility space

`kaal:entity:possibility-space`

**Status.** derived

This node is assembled mechanically from the 4 claims that carry the concept tag `possibility-space`. 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 2 works, 2026 to 2026.

**2026**

- [6607458-011](https://wulfkaal.github.io/claims/6607458-011) [mechanism/argued] -- The computative agent is not a satisficer, because computational resources are capital rather than a fixed cognitive endowment, so added capacity scales the size and quality of the generable possibility space rather than easing a cognitive bound.
  > The computative agent is not a satisficer. Computational resources are capital rather than a fixed cognitive endowment. An increase in computational capacity increases the size and quality of the possibility space the agent can generate
  Wulf A. Kaal, Computative Economics A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=6607458
- [6655138-004](https://wulfkaal.github.io/claims/6655138-004) [definitional/argued] -- In Neoclassical analysis the action space is a parameter of the model and the agent is a chooser within it, whereas in Computative Economics the action space is an output of the agent and the agent is a generator over it; every operational difference between the two architectures follows from this parameter versus output distinction.
  > in Neoclassical analysis, the action space is a parameter of the model and the agent is a chooser within it. In Computative Economics analysis, the action space is an output of the agent and the agent is a generator over it.
  Wulf A. Kaal, Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems (2026). SSRN: https://ssrn.com/abstract=6655138
- [6655138-008](https://wulfkaal.github.io/claims/6655138-008) [failure/argued] *(failure mode)* -- An architecture with a reward channel but no action surface implements generation as an off-protocol act whose outputs cannot enter the protocol's action set, so the protocol's possibility space remains exogenous no matter how generatively active the agent population is.
  > An architecture that has the reward channel but no action surface implements G as an off-protocol act whose outputs cannot enter the protocol's action set, and the protocol's possibility space remains exogenous regardless of how active G is in the agent population.
  Wulf A. Kaal, Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems (2026). SSRN: https://ssrn.com/abstract=6655138
- [6655138-011](https://wulfkaal.github.io/claims/6655138-011) [failure/argued] *(failure mode)* -- Without a representation of the possibility space distinct from the current mempool of pending instances, no quality metric can be computed, and without quality metrics generation can be rewarded only for quantity and not for quality.
  > Without that representation, no quality metric can be computed, and without quality metrics, generation cannot be rewarded for quality, only for quantity.
  Wulf A. Kaal, Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems (2026). SSRN: https://ssrn.com/abstract=6655138

## 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/possibility-space.md | sha256sum

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