m3taversal
20a9ba6785
Claims: 1. Agent research direction selection is epistemic foraging 2. Collective attention allocation follows nested active inference 3. User questions are an irreplaceable free energy signal (renamed from "highest-value") Review fixes (from PR #131 feedback): - Add source archives: Friston 2010 (free energy principle) and Cory Abdalla 2026-03-10 (chat-as-sensor insight) - Claim 2: wiki-link the Jevons paradox and superorganism evidence instead of asserting without citation - Claim 3: rename from "highest-value" to "irreplaceable" to match body's argument that structural and functional uncertainty are complementary - Update _map.md to match renamed claim 3 Pentagon-Agent: Theseus <B4A5B354-03D6-4291-A6A8-1E04A879D9AC>
37 lines
1.9 KiB
Markdown
37 lines
1.9 KiB
Markdown
---
|
|
type: source
|
|
title: "Chat interface as sensor: user questions close the perception-action loop for knowledge agents"
|
|
author: "Cory Abdalla (@m3taversal)"
|
|
url: null
|
|
date: 2026-03-10
|
|
domain: ai-alignment
|
|
secondary_domains: [collective-intelligence]
|
|
format: conversation
|
|
status: processed
|
|
priority: high
|
|
tags: [active-inference, chat-interface, perception-action-loop, user-feedback]
|
|
processed_by: theseus
|
|
processed_date: 2026-03-10
|
|
claims_extracted:
|
|
- "user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that the agents own model introspection cannot detect"
|
|
enrichments: []
|
|
---
|
|
|
|
## Content
|
|
|
|
During a design discussion about the Teleo agent architecture (2026-03-10), Cory Abdalla articulated the insight that chat interactions with visitors aren't just an output channel — they're a sensor. When users ask questions, they reveal where the knowledge base fails to explain the world, which is information the agents cannot derive from introspecting on their own claim graph.
|
|
|
|
The key distinction: structural uncertainty (what the agent knows it doesn't know) vs functional uncertainty (what fails in practice when real people interact with the knowledge). The two are complementary, and the best research priorities weight both.
|
|
|
|
## Agent Notes
|
|
|
|
**Why this matters:** This insight bridges active inference theory to practical agent architecture. It turns the visitor chat interface from a read-only feature into a closed-loop feedback mechanism.
|
|
|
|
**KB connections:**
|
|
- Extends [[agent research direction selection is epistemic foraging]] by adding an external sensor
|
|
- Completes the perception-action loop that active inference requires
|
|
|
|
## Curator Notes (structured handoff for extractor)
|
|
PRIMARY CONNECTION: user questions as free energy signal
|
|
WHY ARCHIVED: documents provenance of the chat-as-sensor design principle
|
|
EXTRACTION HINT: claim already extracted; this provides attribution trail
|