II.
LibraryProcess overview
Reference · livelib-process:scientific-discovery--minimax-regret-reasoning
minimax-regret-reasoning overview
Minimax Regret Reasoning Process - Minimize worst-case regret rather than utility, choosing actions that avoid largest potential disappointment across scenarios.
Attributes
displayName
minimax-regret-reasoning
description
Minimax Regret Reasoning Process - Minimize worst-case regret rather than
utility, choosing actions that avoid largest potential disappointment across scenarios.
libraryPath
library/specializations/domains/science/scientific-discovery/minimax-regret-reasoning.js
specialization
scientific-discovery
references
- - Savage (1951). The Theory of Statistical Decision - Loomes & Sugden (1982). Regret Theory - Hayashi (2008). Regret Aversion and Opportunity Dependence - Stoye (2011). Minimax Regret
example
const result = await orchestrate('specializations/domains/science/scientific-discovery/minimax-regret-reasoning', {
domain: 'Investment Strategy',
alternatives: [{ name: 'aggressive' }, { name: 'moderate' }, { name: 'conservative' }],
scenarios: [{ name: 'bull_market' }, { name: 'bear_market' }, { name: 'stable' }]
});
usesAgents
- bayesian-inference-engine
Outgoing edges
lib_applies_to_domain1
- domain:scientific-discovery·DomainScientific Discovery
lib_belongs_to_specialization2
- specialization:scientific-research-methods·SpecializationScientific Research Methods
- specialization:scientific-discovery·SpecializationScientific Discovery
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:deep-web-research·SkillAreaDeep Web Research
Incoming edges
None.