caefc604bf30d62b…

Claim
ID: urn:uuid:6eb8393f-a95e-4360-91d9-442d08200190802 bytesFirst seen Sep 11, 20261 collection · 2 versions

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description{"content":"If happiness incorporates partner reward prediction errors with a responsibility-weighted rule, then a computational model of happiness that includes a social_pRPE regressor (partner RPE × subject-decided indicator) should fit participant happiness ratings better than nested alternatives that omit the responsibility interaction. Formally: the Responsibility model (and Responsibility Redux model) should achieve lower cross-validated error than baseline (own-reward-only) and additive social-utility models in both Study 1 and Study 2; and the fitted social_pRPE weight should be significantly greater than zero.","format":"text/plain"}
titleprediction-responsibility-model-wins-comparison

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{
  "id": "urn:uuid:6eb8393f-a95e-4360-91d9-442d08200190",
  "type": "Claim",
  "data": {
    "description": {
      "content": "If happiness incorporates partner reward prediction errors with a responsibility-weighted rule, then a computational model of happiness that includes a social_pRPE regressor (partner RPE × subject-decided indicator) should fit participant happiness ratings better than nested alternatives that omit the responsibility interaction. Formally: the Responsibility model (and Responsibility Redux model) should achieve lower cross-validated error than baseline (own-reward-only) and additive social-utility models in both Study 1 and Study 2; and the fitted social_pRPE weight should be significantly greater than zero.",
      "format": "text/plain"
    },
    "title": "prediction-responsibility-model-wins-comparison"
  }
}

Appears in 1 collection · 2 versions

elifepathways/mira2 versions · Sep 11, 2026

Full hash:caefc604bf30d62b8d40f19ed0e6adb063efc58f4cebbb8b8e0fde09919f6eb8