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 "@context": "https://schema.org",
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7733",
 "identifier": "kaal:position:2026-07-31-7733",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Development Of Autonomous Game Agent With Learning And Reactive Behavior 42D89D0394",
 "text": "DEVELOPMENT OF AUTONOMOUS GAME AGENT WITH LEARNING AND REACTIVE BEHAVIORS presents the following source proposition: This can be achieved artificial intelligence (AI) techniques and methods. This proposition is pertinent to Kaal's source-bound claim that Decentralizing data processing across secure nodes, using techniques such as federated learning and homomorphic encryption, circumvents the privacy and security exposure of centralized data management and lowers breach risk. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
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  "decentralization",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.431.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "DEVELOPMENT OF AUTONOMOUS GAME AGENT WITH LEARNING AND REACTIVE BEHAVIORS",
  "url": "https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3360"
 },
 "extends": {
  "identifier": "kaal:claim:5095633-017",
  "url": "https://wulfkaal.github.io/claims/5095633-017",
  "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
  "paper": "Wulf A. Kaal, Artificial Intelligence The Final Frontier",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
  "source_pdf_sha256": "cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63"
 },
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   "@id": "https://wulfkaal.github.io/claims/5095633-017"
  },
  {
   "@type": "CreativeWork",
   "name": "DEVELOPMENT OF AUTONOMOUS GAME AGENT WITH LEARNING AND REACTIVE BEHAVIORS",
   "url": "https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3360"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0010",
 "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": {
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7733",
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 "candidateId": "kaal:response-draft:2026-07-31:774bde55fef31bf8f7af",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.431,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: learning, artificial, intelligence, techniques. Scope: privacy-preserving computation techniques are actually deployed.",
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  "source": "crossref",
  "sourceRecordId": "10.29121/granthaalayah.v5.i4racsit.2017.3360",
  "queryId": "concept:a2c487c0792c",
  "queryText": "autonomous agent accountability",
  "canonicalUrl": "https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3360",
  "doi": "10.29121/granthaalayah.v5.i4racsit.2017.3360",
  "externalIds": {
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   "Crossref": "10.29121/granthaalayah.v5.i4racsit.2017.3360"
  },
  "retrievedAt": "2026-07-31T21:32:45.425Z",
  "providerPage": 13,
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  "workId": "work:doi:10.29121/granthaalayah.v5.i4racsit.2017.3360",
  "workAuthors": [
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   "url:https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3360",
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    "claimUrl": "https://wulfkaal.github.io/claims/5095633-017",
    "rank": 1,
    "confidence": 0.431,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: learning, artificial, intelligence, techniques. Scope: privacy-preserving computation techniques are actually deployed.",
    "ambiguous": true
   },
   {
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    "confidence": 0.347,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: behaviors, artificial, intelligence. Scope: domains with rapid regulatory or behavioral change.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, techniques. Scope: post hoc explainable AI methods such as the SHAP family of explainers.",
    "ambiguous": true
   },
   {
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    "rank": 4,
    "confidence": 0.3196,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: achieved, artificial, intelligence. Scope: European Court of Human Rights; Article 6 cases; prediction against existing judgments.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-015",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: achieved, artificial, intelligence. Scope: systems using computational models of argument to generate legally grounded explanations.",
    "ambiguous": true
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 "userAffirmation": "affirm batch kaal-review:2026-07-31:streaming-etl-0010, SHA-256 702170a5716aed9e79302e88407930485844aeec8c140fe64a7bf7d5dd9603af, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
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}