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 "@id": "https://wulfkaal.github.io/entities/multi-agent-competition",
 "identifier": "kaal:entity:multi-agent-competition",
 "name": "Multi agent competition",
 "termCode": "multi-agent-competition",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
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  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/6192998-019",
   "identifier": "kaal:claim:6192998-019",
   "text": "Multi agent competitive collaboration captures a diversity dividend worth more than half a standard deviation of quality improvement while enabling attribution through citation graphs.",
   "abstract": "Our multi-agent competitive collaboration protocol captures diversity dividends worth 0.5+ standard deviations of quality improvement while enabling attribution through citation graphs.",
   "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
   "datePublished": "2026",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "quality approximately normally distributed across competing agents",
    "competition size of roughly three to seven agents"
   ],
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   "status": "current"
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/6192998-020",
   "identifier": "kaal:claim:6192998-020",
   "text": "The real barrier to multi agent competition is not cost but the absence of an attribution mechanism: if only the best of several competing agents is paid, the others have no incentive to participate, so competition requires rewards proportional to each contributor's contribution.",
   "abstract": "The real barrier is the lack of attribution mechanism. If 5 agents compete but only the best gets paid, the other 4 have no incentive to participate. We need a framework where all contributors can be rewarded proportional to their contribution.",
   "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
   "datePublished": "2026",
   "claim_type": "condition",
   "confidence": "argued",
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/6192998-032",
   "identifier": "kaal:claim:6192998-032",
   "text": "Multi agent competition improves attack resistance because it creates multiple attack surfaces that must all succeed simultaneously, and citation transparency makes collusion detectable; with a fifty percent quality penalty for detected collusion the corruption cost doubles relative to the original framework.",
   "abstract": "This improved security stems from multi-agent competition creating multiple attack surfaces that must all succeed simultaneously, combined with citation transparency enabling collusion detection.",
   "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
   "datePublished": "2026",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "validators actively penalize detected collusion",
    "honest agents compete on quality in the same jobs"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/6192998-036",
   "identifier": "kaal:claim:6192998-036",
   "text": "Domains using multi agent competition will exhibit fifteen to thirty percent higher quality scores than single agent selection, controlling for agent capability.",
   "abstract": "Expertise domains using multi-agent competition will exhibit 15-30% higher quality scores compared to single-agent selection, controlling for agent capability.",
   "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
   "datePublished": "2026",
   "claim_type": "predictive",
   "confidence": "speculative",
   "is_failure_mode": false,
   "scope_conditions": [
    "parallel domains with identical expertise requirements",
    "quality measured by blind expert review"
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  }
 ],
 "description": "4 claims in the published works of Wulf A. Kaal carry the concept tag 'multi-agent-competition'. Derived node: a roster, not an adjudicated definition."
}