yogsoth-ai/de-anthropocentric-research-engine - Page 13

evidence-network-construction

Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment

evidence-scout

Searches for external evidence supporting or opposing specific claims. Returns structured evidence with source assessment and relevance scoring.

evidence-synthesis-planning

Plan the statistical synthesis approach — model selection, heterogeneity strategy, and reporting

evidence-synthesis

Synthesize multi-source evidence into structured argumentation. Weaves findings from literature, web, and analysis into coherent evidence maps with explicit strength ratings.

evidence-tournament

Tactic: Evidence gathering, cross-examination, and quality judgment. External evidence is collected, presented, challenged, and scored for relevance and reliability.

evidence-weighing

Tactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.

evolution-mechanism-transfer

Map evolution mechanisms to design operations. Translate selection, mutation, drift, radiation into design operators.

evolution-strategy

Use evolution mechanisms (selection, mutation, radiation) as design operators for generating and refining solution populations.

excursion-departure

Leave the problem entirely and explore an unrelated domain. Produces excursion domain discoveries for later force-fitting.

excursion-method

Full 8-stage Gordon-Prince excursion process. Deliberate departure from the problem into unrelated domains, then force-fit discoveries back.

excursion-orchestration

Orchestrate the excursion sequence — departure into unrelated domain, force-fit discoveries back to problem, launch springboard ideas.

experiment-config-generation

SOP: generate executable experiment configuration files

extract-data

Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.

extreme-value-generation

Generate boundary and extreme test values for a given parameter dimension to stress-test claims.

facet-bisociation

Bridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.

factor-enumeration

List all key factors, conditions, and assumptions that support or enable the artifact's conclusion.

factor-identification

Identify independent, dependent, and control variables for an experiment

factor-removal

Strategy: Systematic factor removal — remove factors one at a time and observe whether the conclusion remains stable, identifying which factors are load-bearing.

factorial-ideation

DOE thinking: identify factors, define levels, and explore combinations to systematically cover the design space.

failure-chain-construction

Build cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode.

failure-chain-tracing

Tactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding.

failure-clustering

Group observed failures by mechanism (not symptom), identify common triggers per cluster, estimate frequency and severity.

failure-driven-generation

Generate targeted solutions for each identified failure mode, ensuring every failure has at least one proposed mitigation.

failure-mode-analysis

Systematically catalog failure modes — generate edge cases, observe failures, cluster by mechanism, identify triggers and frequency.

failure-mode-extraction

Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.

failure-taxonomy

Catalog all failure modes in a domain, classify them systematically, and generate targeted solutions for each failure type.

false-gap-filtering

Detect false gaps — search failures, already-solved gaps, and inherently unanswerable questions masquerading as research gaps.

falsifiability-audit

Tactic: hypothesis quality assurance — check falsifiability, repair failing hypotheses, complete operationalization and boundary-condition specification

fantasy-analogy

Wish-fulfillment thinking — ignore physical laws for ideal solution. Use unconstrained imagination to reveal what the problem truly needs.

fantasy-wish

Unconstrained wish-fulfillment ideation. Ignore all physical laws to imagine the ideal solution, then identify realization directions.

feasibility-check

Cross-reference the GoalTree against ActorProfile (capabilities), ObstacleReport (known barriers), and timeline (deadline feasibility). Identify infeasible paths and suggest OR alternatives.

feasibility-constrained-formulation

Strategy: reshape a research question under resource constraints — pragmatic adjustment that preserves core value

feasibility-synthesis

Synthesize all assessments into a feasibility matrix, recommendation, and risk summary.

feedback-distribution

Create anonymized feedback report summarizing group judgment distribution for a given round.

feedback-loop-detection

Tactic for identifying circular causation — detect feedback loops, classify as reinforcing or balancing, document loop structure.

finding-aggregation

Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.

five-whys-drilling

Iterative "Why?" questioning (5+ levels) to drill from surface phenomenon to actionable root cause. Each level verified against evidence.

flip-point-detection

Find the minimal change magnitude along a dimension that causes the conclusion to flip from true to false.

force-fit

Force-fit excursion discoveries back to the original problem. Deliberately create connections between unrelated findings and the challenge.

forced-bridge-construction

Force connections between unrelated technologies. Deliberately construct bridges where none naturally exist to discover novel integration possibilities.