iiRecord
Agentic AI Atlas · specializations/domains/science/scientific-discovery/robust-worst-case-reasoning
lib-process:scientific-discovery--robust-worst-case-reasoninga5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--robust-worst-case-reasoning

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specializations/domains/science/scientific-discovery/robust-worst-case-reasoning json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:scientific-discovery--robust-worst-case-reasoning",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/domains/science/scientific-discovery/robust-worst-case-reasoning",
    "description": "Robust Worst-Case Reasoning Process - Choose actions performing acceptably\nunder worst-case conditions using maximin, robust optimization, and adversarial analysis.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/robust-worst-case-reasoning.js",
    "specialization": "scientific-discovery",
    "references": [
      [
        "Wald (1945). Statistical Decision Functions"
      ],
      "- Ben-Tal, El Ghaoui, Nemirovski (2009). Robust Optimization",
      "- Bertsimas & Sim (2004). The Price of Robustness",
      "- Sniedovich (2012). Black Swans, New Nostradamuses, and the Art of Risk Management"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/robust-worst-case-reasoning', {\n  domain: 'Infrastructure Planning',\n  alternatives: [{ name: 'design_A' }, { name: 'design_B' }],\n  uncertainties: [{ name: 'earthquake_magnitude', range: [5, 9] }],\n  acceptabilityThreshold: 0.8\n});",
    "usesAgents": [
      "bayesian-inference-engine"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--robust-worst-case-reasoning",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}