yogsoth-ai/de-anthropocentric-research-engine - 12ページ

dimension-discovery

Strategy for identifying fundamental dimensions of variation in a design space.

原文の言語: 英語

direct-analogy-generation

Find direct analogies from nature/tech/society that share structural properties with the problem. Produces analogy list with structural mappings.

原文の言語: 英語

direct-analogy

Find structurally similar systems in nature/technology/society. Map structural parallels to generate transferable solution principles.

原文の言語: 英語

direction-narrowing

Focus within the user's chosen field(s). Identify specific sub-directions through deep paper and web research, then present ranked candidates. Use after landscape-reconnaissance has identified fields of interest.

原文の言語: 英語

disagreement-cartography

Map the structure of disagreement across perspectives using Policy Delphi, Argument Delphi, or SAST methods.

原文の言語: 英語

disagreement-mapping

Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines.

原文の言語: 英語

disagreement-visualization

Produce a structured disagreement map showing clusters, arguments, and fault lines.

原文の言語: 英語

discrepancy-analysis

Identify discrepancies between reported and reproducible scores — 15 methods, 45 data points, 30 web searches budget

原文の言語: 英語

distribution-assignment

Assign probability distributions to uncertain parameters based on available evidence and domain knowledge.

原文の言語: 英語

divergence-detection

Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.

原文の言語: 英語

diversity-maximization

Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.

原文の言語: 英語

documentation-audit

Assess documentation completeness against BetterBench/Datasheets standards

原文の言語: 英語

domain-divergence

Scan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential.

原文の言語: 英語

domain-scanning

Scan distant domains for transferable principles. Uses web-search and paper-overview to identify analogous solutions in unrelated fields.

原文の言語: 英語

domain-scoping

Strategy for defining ontology boundaries — identify seed concepts, classify topic size, establish scope constraints.

原文の言語: 英語

dominance-check

Identify dominated and non-dominated alternatives in a score matrix using Pareto dominance.

原文の言語: 英語

dominant-idea-escape

Identify dominant paradigms constraining the field and use de Bono lateral thinking provocations to escape them.

原文の言語: 英語

dominant-idea-identification

Identify dominant paradigms and assumptions constraining thinking in a research field.

原文の言語: 英語

duration-estimation

Three-point PERT estimation for implementation activities

原文の言語: 英語

dynamic-tracking

Strategy for continuous rating updates using Elo, Glicko-2, TrueSkill 2, and Whole-History Rating for live ranking systems and A/B testing.

原文の言語: 英語

ecosystem-pattern-extraction

Extract ecosystem-level organization patterns (symbiosis, emergence, cycles, resilience).

原文の言語: 英語

ecosystem-pattern

Extract ecosystem-level organization patterns (symbiosis, emergence, resilience) as design templates for complex systems.

原文の言語: 英語

edge-case-generation

Systematically generate boundary inputs — boundary values, adversarial constructions, distribution shifts, rare combinations, scale extremes.

原文の言語: 英語

effect-size-extraction

Systematically extract effect sizes and conditions from papers for meta-analytic synthesis

原文の言語: 英語

effect-size-planning

Determine effect size types and calculation methods for meta-analytic synthesis

原文の言語: 英語

efficient-exploration

Strategy for large-N sparse pairwise comparison using TrueSkill, active learning, and rank centrality to rank 100+ candidates from limited comparisons.

原文の言語: 英語

egm-construction

Build structured Evidence Gap Maps — define axes (intervention × outcome or method × domain), place gaps in cells, annotate with evidence density and quality.

原文の言語: 英語

emergent-property-hunting

Seek properties that emerge from combination (non-additive)

原文の言語: 英語

emergent-property-identification

Identify non-additive properties from combinations

原文の言語: 英語

emulation-generation

Generate technical solutions emulating biological strategies. Bridge from design principle to concrete implementation.

原文の言語: 英語

enumeration-synthesis

Synthesize all systematic enumeration outputs into a structured idea report with prioritized recommendations.

原文の言語: 英語

environment-specification

SOP: define complete experiment environment specification

原文の言語: 英語

escape-technique

Identify dominant thinking pattern and escape it via deliberate pattern-breaking.

原文の言語: 英語

evaluation-protocol-comparison

Compare implementation differences of same benchmark across papers

原文の言語: 英語

evaporating-cloud

Model conflicts as Goldratt's Evaporating Cloud — expose hidden assumptions behind opposing needs to dissolve the conflict.

原文の言語: 英語

evidence-based-prioritization

Strategy: evidence-strength-based AHRQ PiCMe assessment — drive gap prioritization with the quality of literature evidence

原文の言語: 英語

evidence-collection

Gather evidence for causal claims

原文の言語: 英語

evidence-grading

Assess evidence quality using GRADE/SOE framework. Rates certainty level and identifies downgrade reasons.

原文の言語: 英語

evidence-linking-arg

Strategy for linking evidence to claims — find supporting/contradicting evidence, create typed edges, assess evidence quality, identify gaps in evidential coverage.

原文の言語: 英語

evidence-mapping

Systematic evidence map construction — search, classify, locate gaps, visualize. Combines concept-matrix-construction, gap-keyword-extraction, evidence-grading, and egm-construction SOPs.

原文の言語: 英語