iiRecord
Agentic AI Atlas · planning-policy-reasoning
lib-process:scientific-discovery--planning-policy-reasoninga5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--planning-policy-reasoning

Structured · live

planning-policy-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--planning-policy-reasoning",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "planning-policy-reasoning",
    "description": "Planning and Policy Reasoning Process - Compute action sequences achieving\ngoals under constraints using classical planning, temporal planning, and policy synthesis.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/planning-policy-reasoning.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Ghallab, Nau, Traverso (2004). Automated Planning: Theory and Practice\n- Russell & Norvig (2020). Artificial Intelligence, Chapter 11: Planning\n- Fikes & Nilsson (1971). STRIPS\n- Boutilier et al. (1999). Decision-Theoretic Planning"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/planning-policy-reasoning', {\n  domain: 'Robotics',\n  initialState: { location: 'A', holding: null, objects: ['block1', 'block2'] },\n  goalState: { holding: 'block1', location: 'B' },\n  actions: [{ name: 'move', params: ['from', 'to'] }, { name: 'pickup', params: ['object'] }]\n});",
    "usesAgents": [
      "hypothesis-generator"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--planning-policy-reasoning",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}