# kaal:claim:7456999-018

**Claim.** The Computative Economics framing replaces a preference holder choosing fixed alternatives with a generator-evaluator tuple whose activity produces the alternative set.

**Type.** definitional  **Support.** argued

**Holds when.**

- the computative primitive described in the paper

**Source quote.**

> The agent is not a preference-holder choosing among fixed alternatives. The agent is a generator- evaluator tuple whose activity produces the alternative set in the course of operating. The quality signal is a functional on the generated possibility space, not an aggregate of preferences over realizations.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), II.C The Proposed Primitive Distinction, page 9

**Cite as.** Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

**Verify.** sha256 of source PDF `01016fbbcc25cad205cebd59ea686d8dfee8ae9b632095d86ba6c9a900456a4b` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Reinforcement%20Learning%20from%20Reputation%20Feedback.pdf

**Topics.** economics, ai-and-agents, institutional-design

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