caefc604bf30d62b…
ClaimID:
urn:uuid:6eb8393f-a95e-4360-91d9-442d08200190802 bytesFirst seen Sep 11, 20261 collection · 2 versionsFields
| Name | Value |
|---|---|
| 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 |
Canonical JSON
{
"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