yogsoth-ai/de-anthropocentric-research-engine - 7ページ

alternative-model-generation

Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.

原文の言語: 英語

alternative-scoring

Score each candidate alternative against all criteria to produce a score matrix.

原文の言語: 英語

alternatives-generation

Generate alternatives for every known approach — ensure no approach goes unchallenged.

原文の言語: 英語

analogical-transfer

Systematic structure-mapping from source to target domain (Gentner). Identify relational correspondences and transfer higher-order constraints.

原文の言語: 英語

analogy-chain

Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface.

原文の言語: 英語

analogy-quality-assessment

Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment.

原文の言語: 英語

and-or-decompose

KAOS-style recursive goal decomposition. AND decomposition for sub-goals that must ALL be satisfied. OR decomposition for alternative paths where any one suffices. Produces a GoalTree (DAG structure).

原文の言語: 英語

anomaly-driven-abduction

Tactic: Inductive/abductive path — describe anomalous phenomena, generate candidate explanations, rank by plausibility

原文の言語: 英語

anti-benchmark

Challenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.

原文の言語: 英語

appreciative-discovery

Search for positive deviants and extract transferable principles using Appreciative Inquiry.

原文の言語: 英語

appreciative-reframing

Find positive deviants and reframe the problem from deficit-based to asset-based using Appreciative Inquiry.

原文の言語: 英語

appropriateness-bounding

Establish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.

原文の言語: 英語

argument-crystallization

Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.

原文の言語: 英語

argument-extraction

Extract and steel-man the core arguments supporting a given opinion cluster.

原文の言語: 英語

argument-synthesis

Strategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny.

原文の言語: 英語

assess-obstacle-severity

Rate each identified obstacle's difficulty — overcomability, time cost, workaround existence. May optionally use search tools to validate assessments.

原文の言語: 英語

assignee-normalization

Standardize assignee names and identify corporate group affiliations across patent offices

原文の言語: 英語

assumption-audit

Surface all assumptions, classify by vulnerability (load-bearing × likely-false), validate causal logic. Focus on dangerous assumptions — high load-bearing + non-explicit.

原文の言語: 英語

assumption-cascade

Tactic: Surface assumptions, sort by dependency, attack root assumptions first, then trace cascade failures through the dependency graph.

原文の言語: 英語

assumption-cascade-tracer

Build assumption dependency graphs and trace cascade failures when root assumptions are invalidated.

原文の言語: 英語

assumption-challenging

Challenge each assumption's validity — shared cross-repo SOP

原文の言語: 英語

assumption-constraint

Which assumptions are most fragile? — Vulnerability ranking + impact assessment of experiment assumptions

原文の言語: 英語

assumption-criticality

Measure how much conclusions change when each assumption is negated. Ranks assumptions by their impact on the final result.

原文の言語: 英語

assumption-excavation

Systematic extraction, challenge, and sensitivity analysis of assumptions underlying a decision to identify load-bearing beliefs.

原文の言語: 英語

assumption-negation

Classic reductio ad absurdum: negate the core claim, derive logical consequences, seek contradiction or absurdity.

原文の言語: 英語

assumption-stress-test

Systematic stress testing of assumptions — surface, classify by vulnerability, attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification, and clr-validation SOPs.

原文の言語: 英語

attack-resilience-scoring

Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution.

原文の言語: 英語

attack-vector-generation

Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed.

原文の言語: 英語

axiom-negation

Identify and suspend fundamental assumptions via de Bono PO. Systematically negate axioms to reveal hidden solution spaces.

原文の言語: 英語

axis-extraction

Tactic for systematically extracting axes of variation from literature — identify how practitioners compare approaches.

原文の言語: 英語

ballot-collection

Gather independent ranking ballots from multiple judges or perspectives for a given candidate set.

原文の言語: 英語

baseline-selection

Select appropriate baselines for experimental comparison

原文の言語: 英語

benchmark-audit

Systematic quality assessment using BetterBench 46-criterion framework — 5 benchmarks, 30 papers, 40 web searches

原文の言語: 英語

benchmark-challenge

Identify and negate benchmark assumptions. Deconstruct best practices to reveal hidden constraints and open new spaces.

原文の言語: 英語

benchmark-sweep

Systematically scan all known solutions, identify gaps in coverage and unexplored regions of the solution space.

原文の言語: 英語

benchmark-synthesis

Produce final structured audit report

原文の言語: 英語

best-option-selection

Select the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.

原文の言語: 英語

bias-detection

Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.

原文の言語: 英語

biological-function-mapping

Map technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology.

原文の言語: 英語

biological-strategy-extraction

Extract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function.

原文の言語: 英語