{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-3845",
 "identifier": "kaal:position:2026-07-31-3845",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 0A176Cbcf5748A091Ee4",
 "text": "Feasibility Analysis and Application of Reinforcement Learning Algorithm Based on Dynamic Parameter Adjustment should be assessed against Kaal's source-bound claim that Dynamic regulation as part of institutional design in the evolution of law has not been systematically analyzed, despite an existing economics literature applying dynamic regulation to telecommunications, learning by doing, and principal-agent problems. The current metadata indicates a plausible connection through dynamic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "dynamic-regulation",
  "institutional-design"
 ],
 "scope_conditions": [
  "Apply only within the source-bound Kaal claim's stated scope.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "Feasibility Analysis and Application of Reinforcement Learning Algorithm Based on Dynamic Parameter Adjustment",
  "url": "https://www.semanticscholar.org/paper/3b5674497d0c257388642814140e6b13c1c60654"
 },
 "extends": {
  "identifier": "kaal:claim:2267560-003",
  "url": "https://wulfkaal.github.io/claims/2267560-003",
  "citation": "Wulf A. Kaal, Evolution of Law Dynamic Regulation in a New Institutional Economics Framework (2013). SSRN: https://ssrn.com/abstract=2267560",
  "paper": "Evolution of Law Dynamic Regulation in a New Institutional Economics Framework",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2013",
  "ssrn": "https://ssrn.com/abstract=2267560",
  "source_pdf_sha256": "7ecc9dd1826121a95bf252476cdaa1c8737ad8079e12caf66c4342ffae7af8af"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/2267560-003"
  },
  {
   "@type": "CreativeWork",
   "name": "Feasibility Analysis and Application of Reinforcement Learning Algorithm Based on Dynamic Parameter Adjustment",
   "url": "https://www.semanticscholar.org/paper/3b5674497d0c257388642814140e6b13c1c60654"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0016",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-3845",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-3845.md",
 "candidateId": "kaal:response-candidate:2026-07-31:a46e3bca83481132",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2246,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: learning, dynamic, has, been, part, new, regulation, analyzed. Scope: review source claim scope.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 2,
  "sourceRank": 1829,
  "retrievedAt": "2026-07-31T13:58:14.237Z",
  "citationCount": 4,
  "venue": "Algorithms",
  "publicationTypes": [
   "JournalArticle"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "9caee95d31f38d7901e49c2ebb36256a00a5b3348da8e8d4f0855c7e25e646f4"
}