{
  "canonicalUrl": "https://xn--mwe.com/research/machine-institutions-multi-agent-systems/",
  "correctionStatus": "CURRENT K05 RELEASE",
  "findings": [
    "The report distinguishes individual agents, orchestrated teams, decentralized swarms, institutions, and economies.",
    "Multi-agent coordination requires identity, role, capability, message, memory, conflict, and state-synchronization models.",
    "MCP and A2A-style interfaces address parts of tool and agent interaction but do not create shared truth or governance.",
    "Distributed systems face Byzantine behavior, stale state, partition, duplicate action, incentive conflict, and emergent protocol risks.",
    "Shared memory needs provenance, access control, correction, retention, and consistency semantics.",
    "Machine institutions require authority, membership, decision, appeal, liability, and operational evidence beyond an agent framework.",
    "Speculative institutional forms must remain labeled as hypotheses.",
    "A symbolic M2M layer could support bounded coordination but must coexist with richer payload and evidence channels.",
    "K08 links this research to the assurance trace explorer and experimental protocol registry.",
    "The public synthesis does not claim current deployment of autonomous machine economies or institutions."
  ],
  "headings": [
    "ᛗᚪᚳᚻᛁᚾᛖ ᛁᚾᛋᛏᛁᛏᚢᛏᛁᚩᚾᛋ ᚪᚾᛞ ᛗᚢᛚᛏᛁ-ᚪᚷᛖᚾᛏ ᛖᚳᚩᚾᚩᛗᛁᛖᛋ",
    "Taxonomy of Agents",
    "Taxonomy of Machine Institutions",
    "Documented Systems",
    "Major Papers",
    "Real-World Deployments",
    "Limitations and Failure Modes",
    "Governance Models",
    "Source Ledger",
    "Chronology",
    "Entity Graph",
    "50 FAQs",
    "50 Potential Content Pages",
    "25 Hypothetical Institutional Forms (Speculative)",
    "Works cited"
  ],
  "id": "REP-K08-068",
  "lastReviewed": "2026-08-16",
  "machineRecordUrl": "https://xn--mwe.com/data/reports/machine-institutions-multi-agent-systems.json",
  "originalFilename": "AI Multi-Agent Systems Research(2).md",
  "qualification": "The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.",
  "rawSourcePublic": false,
  "releaseId": "K12-2026-08-16",
  "researchCutoff": "2026-08-16",
  "slug": "machine-institutions-multi-agent-systems",
  "source": "machine-multi-agent-systems-research.md",
  "sourceRevalidatedAt": "2026-08-15T23:00:00Z",
  "sourceSha256": "27555147189a1f5de93eca3ad6c83a5f12aef44c04308d3418ce4089b49cdcc5",
  "sourceSizeBytes": 59084,
  "sourceStatus": "K08 governed research input; technical, historical, legal, security, and performance propositions require explicit source or empirical validation.",
  "sourceTitle": "Machine Institutions and Multi-Agent Economies",
  "status": "RESEARCH FINDING",
  "summary": "A governed Runic-script synthesis of agent taxonomies, communication protocols, shared memory, institutions, deployments, failure modes, governance models, and speculative forms.",
  "title": "Machine Institutions and Multi-Agent Economies",
  "topic": "machine-communication-protocols",
  "type": "ReportSynthesis"
}