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theseus: extract from 2020-12-00-da-costa-active-inference-discrete-state-spaces.md

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- Source: inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md
- Domain: ai-alignment
- Extracted by: headless extraction cron (worker 6)

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inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md
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@ -7,9 +7,14 @@ date: 2020-12-01
domain: ai-alignment
secondary_domains: [critical-systems]
format: paper
status: unprocessed
status: null-result
priority: medium
tags: [active-inference, tutorial, discrete-state-space, expected-free-energy, variational-free-energy, planning, decision-making]
processed_by: theseus
processed_date: 2026-03-11
enrichments_applied: ["structured exploration protocols reduce human intervention by 6x because the Residue prompt enabled 5 unguided AI explorations to solve what required 31 human-coached explorations.md"]
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "Technical reference paper for discrete-state active inference. Extracted two core claims about the VFE/EFE distinction and the unification of existing frameworks under free energy minimization. One enrichment connecting formal active inference theory to the existing Residue prompt claim. This provides mathematical foundation for implementing EFE-based research direction selection in KB architecture."
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## Content