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Agentic AI Atlas · decision-theoretic-reasoning
lib-process:scientific-discovery--decision-theoretic-reasoninga5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--decision-theoretic-reasoning

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decision-theoretic-reasoning json

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File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:scientific-discovery--decision-theoretic-reasoning",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "decision-theoretic-reasoning",
    "description": "Decision-Theoretic Reasoning Process - Combine beliefs (probabilities) with\nutilities (preferences) to choose actions that maximize expected utility under uncertainty.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/decision-theoretic-reasoning.js",
    "specialization": "scientific-discovery",
    "references": [
      "- von Neumann & Morgenstern (1944). Theory of Games and Economic Behavior\n- Savage (1954). The Foundations of Statistics\n- Jeffrey (1983). The Logic of Decision\n- Peterson (2017). An Introduction to Decision Theory"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/decision-theoretic-reasoning', {\n  domain: 'Medical Treatment',\n  decision: { description: 'Choose treatment for patient with condition X' },\n  alternatives: [{ name: 'surgery' }, { name: 'medication' }, { name: 'watchful_waiting' }],\n  uncertainties: [{ name: 'treatment_response', states: ['positive', 'neutral', 'negative'] }]\n});",
    "usesAgents": [
      "decision-theorist"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--decision-theoretic-reasoning",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}