{
  "id": "lib-process:scientific-discovery--causal-discovery",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/domains/science/scientific-discovery/causal-discovery",
    "description": "Causal Discovery Process - Infer causal graph structure from data plus assumptions\nusing constraint-based, score-based, and hybrid algorithms for automated causal structure learning.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/causal-discovery.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Spirtes, Glymour, Scheines (2000). Causation, Prediction, and Search",
      [
        "Chickering (2002). Optimal Structure Identification With Greedy Search"
      ],
      [
        "Zheng et al. (2018). DAGs with NO TEARS"
      ],
      [
        "Huang et al. (2020). Causal Discovery from Heterogeneous/Nonstationary Data"
      ]
    ],
    "example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/causal-discovery', {\n  domain: 'Genomics',\n  variables: ['gene_A', 'gene_B', 'gene_C', 'phenotype'],\n  priorKnowledge: { forbiddenEdges: [['phenotype', 'gene_A']] },\n  assumptions: ['Causal Markov Assumption', 'Faithfulness']\n});",
    "usesAgents": [
      "causal-reasoning-analyst"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-discovery",
      "to": "lib-agent:scientific-discovery--causal-reasoning-analyst",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}