II.
LibraryProcess JSON
Structured · livelib-process:scientific-discovery--game-theoretic-strategic-reasoning
game-theoretic-strategic-reasoning json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "game-theoretic-strategic-reasoning",
"description": "Game-Theoretic Strategic Reasoning - Reason systematically when outcomes depend on\nothers' choices, applying Nash equilibria, dominant strategies, mechanism design, and multi-agent\ndecision theory to scientific discovery, collaboration dynamics, and competitive research scenarios.",
"libraryPath": "library/specializations/domains/science/scientific-discovery/game-theoretic-strategic-reasoning.js",
"specialization": "scientific-discovery",
"references": [
"- Game Theory and Strategy: https://plato.stanford.edu/entries/game-theory/\n- Nash Equilibrium: https://www.nobelprize.org/prizes/economic-sciences/1994/nash/facts/\n- Multi-Agent Systems: https://www.sciencedirect.com/topics/computer-science/multi-agent-system\n- Mechanism Design Theory: https://www.nobelprize.org/prizes/economic-sciences/2007/summary/"
],
"example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/game-theoretic-strategic-reasoning', {\n scenario: 'Research collaboration vs competition for priority',\n agents: [{ name: 'Lab A', resources: 'high', reputation: 'established' }, { name: 'Lab B', resources: 'medium', reputation: 'emerging' }],\n payoffStructure: { collaboration: { shared_credit: 0.6, speed_bonus: 0.3 }, competition: { winner_takes_all: 0.9, loser: 0.1 } },\n objectives: ['Maximize discovery impact', 'Ensure fair attribution', 'Optimize resource utilization']\n});",
"usesAgents": [
"decision-theorist"
]
},
"outgoingEdges": [
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "skill-area:data-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "skill-area:statistical-analysis",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "skill-area:deep-web-research",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "domain:scientific-discovery",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "role:research-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "workflow:experiment-design",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "workflow:peer-review-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "specialization:scientific-research-methods",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:scientific-discovery--game-theoretic-strategic-reasoning",
"to": "specialization:scientific-discovery",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
}
],
"incomingEdges": []
}