II.
LibraryProcess JSON
Structured · livelib-process:scientific-discovery--multi-criteria-decision-analysis-structured
multi-criteria-decision-analysis-structured json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "multi-criteria-decision-analysis-structured",
"description": "Structure complex decisions with multiple objectives - Guides decision-makers through\nrigorous multi-criteria decision analysis (MCDA) to make transparent, defensible choices.",
"libraryPath": "library/specializations/domains/science/scientific-discovery/multi-criteria-decision-analysis-structured.js",
"specialization": "scientific-discovery",
"references": [
"- Belton, V. & Stewart, T. (2002). Multiple Criteria Decision Analysis: An Integrated Approach\n- Keeney, R.L. & Raiffa, H. (1993). Decisions with Multiple Objectives\n- Saaty, T.L. (1980). The Analytic Hierarchy Process\n- Greco, S. et al. (2016). Multiple Criteria Decision Analysis: State of the Art Surveys"
],
"example": "const result = await orchestrate('domains/science/scientific-discovery/multi-criteria-decision-analysis-structured', {\n decision: 'Select new office location',\n alternatives: ['Downtown', 'Suburbs', 'Remote-first'],\n criteria: ['Cost', 'Employee satisfaction', 'Client access', 'Growth potential'],\n stakeholders: ['Executive team', 'Employees', 'Clients']\n});",
"usesAgents": [
"hypothesis-generator"
]
},
"outgoingEdges": [
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "skill-area:data-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "skill-area:statistical-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "skill-area:deep-web-research",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "domain:scientific-discovery",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "role:research-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "workflow:experiment-design",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "workflow:peer-review-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "specialization:scientific-research-methods",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--multi-criteria-decision-analysis-structured",
"to": "specialization:scientific-discovery",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
}
],
"incomingEdges": []
}