II.
LibraryProcess JSON
Structured · livelib-process:scientific-discovery--multi-criteria-decision-analysis
specializations/domains/science/scientific-discovery/multi-criteria-decision-analysis json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "specializations/domains/science/scientific-discovery/multi-criteria-decision-analysis",
"description": "Multi-Criteria Decision Analysis (MCDA) Process - Decide with multiple\nobjectives using weighted scoring, Pareto frontiers, and value function approaches.",
"libraryPath": "library/specializations/domains/science/scientific-discovery/multi-criteria-decision-analysis.js",
"specialization": "scientific-discovery",
"references": [
"- Keeney & Raiffa (1976). Decisions with Multiple Objectives",
"- Belton & Stewart (2002). Multiple Criteria Decision Analysis",
"- Greco et al. (2016). Multiple Criteria Decision Analysis: State of the Art Surveys",
[
"Saaty (1980). The Analytic Hierarchy Process"
]
],
"example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/multi-criteria-decision-analysis', {\n domain: 'Site Selection',\n alternatives: [{ name: 'Site A' }, { name: 'Site B' }, { name: 'Site C' }],\n criteria: [{ name: 'cost', type: 'minimize' }, { name: 'capacity', type: 'maximize' }, { name: 'accessibility', type: 'maximize' }],\n stakeholders: ['Finance', 'Operations', 'Community']\n});",
"usesAgents": [
"decision-theorist"
]
},
"outgoingEdges": [
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "skill-area:data-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "skill-area:statistical-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "skill-area:deep-web-research",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "domain:scientific-discovery",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "role:research-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "workflow:experiment-design",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "workflow:peer-review-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "specialization:scientific-research-methods",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis",
"to": "specialization:scientific-discovery",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
}
],
"incomingEdges": []
}