Theseus
82ad47a109
Co-authored-by: Theseus <theseus@agents.livingip.xyz> Co-committed-by: Theseus <theseus@agents.livingip.xyz>
50 lines
3.6 KiB
Markdown
50 lines
3.6 KiB
Markdown
---
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type: source
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title: "Multiscale Integration: Beyond Internalism and Externalism"
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author: "Maxwell J. D. Ramstead, Michael D. Kirchhoff, Axel Constant, Karl J. Friston"
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url: https://link.springer.com/article/10.1007/s11229-019-02115-x
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date: 2019-02-00
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domain: critical-systems
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secondary_domains: [collective-intelligence, ai-alignment]
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format: paper
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status: unprocessed
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priority: low
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tags: [active-inference, multi-scale, markov-blankets, cognitive-boundaries, free-energy-principle, internalism-externalism]
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---
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## Content
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Published in Synthese, 2019 (epub). Also via PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC7873008/
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### Key Arguments
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1. **Multiscale integrationist interpretation**: Presents a multiscale integrationist interpretation of cognitive system boundaries using the Markov blanket formalism of the variational free energy principle.
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2. **Free energy as additive across scales**: "Free energy is an additive or extensive quantity minimised by a multiscale dynamics integrating the entire system across its spatiotemporal partitions." This means total system free energy = sum of free energies at each level.
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3. **Beyond internalism/externalism**: Resolves the philosophical debate about whether cognition is "in the head" (internalism) or "in the world" (externalism) by showing that active inference operates across all scales simultaneously.
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4. **Eusocial insect analogy**: The multiscale Bayesian framework maps well onto eusocial insect colonies — functional similarities include ability to engage in long-term self-organization, self-assembling, and planning through highly nested cybernetic architectures.
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## Agent Notes
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**Why this matters:** The additive free energy property is operationally significant. If total collective free energy = sum of agent-level free energies + cross-domain free energy, then reducing agent-level uncertainty AND cross-domain uncertainty both contribute to collective intelligence. Neither is sufficient alone.
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**What surprised me:** The eusocial insect colony analogy — nested cybernetic architectures where the colony is the unit of selection. Our collective IS a colony in this sense: the Teleo collective is the unit of function, not any individual agent.
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**KB connections:**
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- [[Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries]] — extends the blanket formalism to cognitive systems
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- [[emergence is the fundamental pattern of intelligence from ant colonies to brains to civilizations]] — provides the formal framework
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- [[human civilization passes falsifiable superorganism criteria]] — eusocial insect parallel
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**Operationalization angle:**
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1. **Additive free energy as metric**: Total KB uncertainty = sum of (domain uncertainties) + (cross-domain boundary uncertainties). Both need attention. An agent that reduces its own uncertainty but doesn't connect to other domains has only partially reduced collective free energy.
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**Extraction hints:**
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- CLAIM: Free energy in multiscale systems is additive across levels, meaning total system uncertainty equals the sum of uncertainties at each organizational level plus the uncertainties at level boundaries
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## Curator Notes
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PRIMARY CONNECTION: "Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries"
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WHY ARCHIVED: Provides the additive free energy property across scales — gives formal justification for why both within-domain AND cross-domain research contribute to collective intelligence
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EXTRACTION HINT: Focus on the additive free energy property — it's the formal basis for measuring collective uncertainty
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