yogsoth-ai/de-anthropocentric-research-engine - Seite 12

dimension-discovery

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

Quellsprache: Englisch

direct-analogy-generation

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

Quellsprache: Englisch

direct-analogy

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

Quellsprache: Englisch

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.

Quellsprache: Englisch

disagreement-cartography

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

Quellsprache: Englisch

disagreement-mapping

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

Quellsprache: Englisch

disagreement-visualization

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

Quellsprache: Englisch

discrepancy-analysis

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

Quellsprache: Englisch

distribution-assignment

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

Quellsprache: Englisch

divergence-detection

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

Quellsprache: Englisch

diversity-maximization

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

Quellsprache: Englisch

documentation-audit

Assess documentation completeness against BetterBench/Datasheets standards

Quellsprache: Englisch

domain-divergence

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

Quellsprache: Englisch

domain-scanning

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

Quellsprache: Englisch

domain-scoping

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

Quellsprache: Englisch

dominance-check

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

Quellsprache: Englisch

dominant-idea-escape

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

Quellsprache: Englisch

dominant-idea-identification

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

Quellsprache: Englisch

duration-estimation

Three-point PERT estimation for implementation activities

Quellsprache: Englisch

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.

Quellsprache: Englisch

ecosystem-pattern-extraction

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

Quellsprache: Englisch

ecosystem-pattern

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

Quellsprache: Englisch

edge-case-generation

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

Quellsprache: Englisch

effect-size-extraction

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

Quellsprache: Englisch

effect-size-planning

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

Quellsprache: Englisch

efficient-exploration

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

Quellsprache: Englisch

egm-construction

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

Quellsprache: Englisch

emergent-property-hunting

Seek properties that emerge from combination (non-additive)

Quellsprache: Englisch

emergent-property-identification

Identify non-additive properties from combinations

Quellsprache: Englisch

emulation-generation

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

Quellsprache: Englisch

enumeration-synthesis

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

Quellsprache: Englisch

environment-specification

SOP: define complete experiment environment specification

Quellsprache: Englisch

escape-technique

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

Quellsprache: Englisch

evaluation-protocol-comparison

Compare implementation differences of same benchmark across papers

Quellsprache: Englisch

evaporating-cloud

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

Quellsprache: Englisch

evidence-based-prioritization

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

Quellsprache: Englisch

evidence-collection

Gather evidence for causal claims

Quellsprache: Englisch

evidence-grading

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

Quellsprache: Englisch

evidence-linking-arg

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

Quellsprache: Englisch

evidence-mapping

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

Quellsprache: Englisch