iiRecord
Agentic AI Atlas · fault-tree-analysis
lib-process:scientific-discovery--fault-tree-analysisa5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--fault-tree-analysis

Structured · live

fault-tree-analysis 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--fault-tree-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "fault-tree-analysis",
    "description": "Construct logic trees to analyze event combinations leading to failures - Guides practitioners\nthrough Fault Tree Analysis (FTA) to systematically identify combinations of basic events that can cause\na top-level undesired event using Boolean logic.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/fault-tree-analysis.js",
    "specialization": "scientific-discovery",
    "references": [
      "- NASA Fault Tree Handbook (2002)\n- IEC 61025 (2006). Fault Tree Analysis\n- Vesely, W.E. et al. (1981). Fault Tree Handbook, NUREG-0492"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/fault-tree-analysis', {\n  topEvent: 'Loss of aircraft control',\n  system: { name: 'Flight Control System', components: ['Hydraulics', 'FBW', 'Manual Backup'] },\n  quantitative: true\n});",
    "usesAgents": [
      "root-cause-analyzer",
      "formal-logic-reasoner",
      "bayesian-inference-engine"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--fault-tree-analysis",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}