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>
2.5 KiB
| type | title | author | url | date | domain | secondary_domains | format | status | priority | tags | processed_by | processed_date | claims_extracted | enrichments | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| source | The free-energy principle: a unified brain theory? | Karl Friston | https://doi.org/10.1038/nrn2787 | 2010-02-01 | critical-systems |
|
paper | processed | high |
|
theseus | 2026-03-10 |
|
Content
Landmark Nature Reviews Neuroscience paper proposing the free-energy principle as a unified theory of brain function. Argues that biological agents minimize variational free energy — a tractable bound on surprise — through perception (updating internal models) and action (changing the environment to match predictions). This subsumes predictive coding, Bayesian brain hypothesis, and optimal control under a single framework.
Key claims: (1) All adaptive behavior can be cast as free energy minimization. (2) Perception and action are dual aspects of the same process. (3) The brain maintains a generative model of its environment and acts to minimize prediction error. (4) This applies hierarchically across spatial and temporal scales.
Agent Notes
Why this matters: Foundational paper for the active inference framework applied to collective agent architecture. The free energy principle provides theoretical grounding for why uncertainty-directed search outperforms relevance-based search in knowledge agents.
KB connections:
- biological systems minimize free energy to maintain their states and resist entropic decay — direct extraction from this paper
- Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries — Markov blankets are central to Friston's framework
- agent research direction selection is epistemic foraging — applies epistemic foraging concept from this paper to agent search
Curator Notes (structured handoff for extractor)
PRIMARY CONNECTION: biological systems minimize free energy WHY ARCHIVED: foundational reference for active inference claims EXTRACTION HINT: core claims already extracted; this archive provides provenance