II.
LibraryProcess JSON
Structured · livelib-process:scientific-discovery--minimax-regret-reasoning
minimax-regret-reasoning json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:scientific-discovery--minimax-regret-reasoning",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "minimax-regret-reasoning",
"description": "Minimax Regret Reasoning Process - Minimize worst-case regret rather than\nutility, choosing actions that avoid largest potential disappointment across scenarios.",
"libraryPath": "library/specializations/domains/science/scientific-discovery/minimax-regret-reasoning.js",
"specialization": "scientific-discovery",
"references": [
"- Savage (1951). The Theory of Statistical Decision\n- Loomes & Sugden (1982). Regret Theory\n- Hayashi (2008). Regret Aversion and Opportunity Dependence\n- Stoye (2011). Minimax Regret"
],
"example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/minimax-regret-reasoning', {\n domain: 'Investment Strategy',\n alternatives: [{ name: 'aggressive' }, { name: 'moderate' }, { name: 'conservative' }],\n scenarios: [{ name: 'bull_market' }, { name: 'bear_market' }, { name: 'stable' }]\n});",
"usesAgents": [
"bayesian-inference-engine"
]
},
"outgoingEdges": [
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "skill-area:data-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "skill-area:statistical-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "skill-area:deep-web-research",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "domain:scientific-discovery",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "role:research-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "workflow:experiment-design",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "workflow:peer-review-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "specialization:scientific-research-methods",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--minimax-regret-reasoning",
"to": "specialization:scientific-discovery",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
}
],
"incomingEdges": []
}