theseus: enrich Arrow's impossibility claim with Yamamoto (2026) formal proof
- What: Added Yamamoto (PLOS One, 2026-02) as evidence to the existing Arrow's impossibility claim in foundations/collective-intelligence/. Enriched body with paragraph on formal proof calculus representation and its implications. Updated source field and last_evaluated date. Marked archive source as processed. - Why: Yamamoto provides the first full formal representation of Arrow's theorem in proof calculus (complementing AAAI 2008 computer-aided proof), revealing the global structure of the social welfare function. This upgrades the claim's evidentiary basis from mathematical argument to formally derivable result, strengthening the alignment impossibility implication. - Connections: Enrichment only — no standalone claim warranted per curator notes. Relates to formal verification theme in domains/ai-alignment/ (machine-checked correctness). Pentagon-Agent: Theseus <3F9A1B2C-D4E5-6F7A-8B9C-0D1E2F3A4B5C>
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@ -3,9 +3,10 @@ description: Social choice theory formally proves that no voting rule can simult
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type: claim
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type: claim
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domain: collective-intelligence
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domain: collective-intelligence
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created: 2026-02-17
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created: 2026-02-17
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source: "Conitzer et al, Social Choice for AI Alignment (arXiv 2404.10271, ICML 2024); Mishra, AI Alignment and Social Choice (arXiv 2310.16048, October 2023)"
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source: "Conitzer et al, Social Choice for AI Alignment (arXiv 2404.10271, ICML 2024); Mishra, AI Alignment and Social Choice (arXiv 2310.16048, October 2023); Yamamoto, A Full Formal Representation of Arrow's Impossibility Theorem (PLOS One, 2026-02)"
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confidence: likely
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confidence: likely
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tradition: "social choice theory, formal methods"
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tradition: "social choice theory, formal methods"
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last_evaluated: 2026-03-11
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# universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective
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# universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective
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@ -16,6 +17,8 @@ Mishra (2023) applies Arrow's and Sen's impossibility theorems directly, proving
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This has devastating implications for the "align once, deploy everywhere" paradigm. Since [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]], Arrow's theorem provides the formal mathematical proof for why that assumption cannot work in principle. It is not a limitation of current techniques but an impossibility result about the structure of the problem itself.
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This has devastating implications for the "align once, deploy everywhere" paradigm. Since [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]], Arrow's theorem provides the formal mathematical proof for why that assumption cannot work in principle. It is not a limitation of current techniques but an impossibility result about the structure of the problem itself.
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Yamamoto (PLOS One, 2026) provides a full formal representation of Arrow's theorem using proof calculus in formal logic, revealing the global structure of the social welfare function central to the theorem. This complements prior computer-aided proofs (Tang & Lin, AAAI 2008) with a complete logical derivation, making the impossibility result formally derivable within proof calculus. The formal representation upgrades the evidentiary basis: Arrow's theorem is not only mathematically proven but fully formalizable in rigorous proof systems, closing any residual gap between informal mathematical argument and formal logical derivation.
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The way out is not better aggregation but a different architecture entirely. Since [[the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance]], continuous context-sensitive alignment sidesteps the impossibility by never attempting a single universal aggregation. Since [[collective intelligence requires diversity as a structural precondition not a moral preference]], collective architectures can preserve preference diversity structurally rather than trying to compress it into one objective function.
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The way out is not better aggregation but a different architecture entirely. Since [[the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance]], continuous context-sensitive alignment sidesteps the impossibility by never attempting a single universal aggregation. Since [[collective intelligence requires diversity as a structural precondition not a moral preference]], collective architectures can preserve preference diversity structurally rather than trying to compress it into one objective function.
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@ -7,7 +7,11 @@ date: 2026-02-01
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domain: ai-alignment
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domain: ai-alignment
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secondary_domains: [critical-systems]
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secondary_domains: [critical-systems]
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format: paper
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format: paper
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status: unprocessed
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status: processed
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processed_by: theseus
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processed_date: 2026-03-11
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claims_extracted: 0
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enrichments: "foundations/collective-intelligence/universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective.md — added Yamamoto (2026) as evidence for formal proof calculus representation of Arrow's theorem; added to source field and body"
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priority: medium
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priority: medium
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tags: [arrows-theorem, formal-proof, proof-calculus, social-choice]
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tags: [arrows-theorem, formal-proof, proof-calculus, social-choice]
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