yogsoth-ai/de-anthropocentric-research-engine - 8ページ

biologize-and-discover

Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate. Translate technical challenges into biological questions and find nature's solutions.

原文の言語: 英語

biomimicry-synthesis

Synthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions.

原文の言語: 英語

biotriz-principle-selection

Select applicable BioTRIZ principles for a given contradiction. Map to biological cases.

原文の言語: 英語

biotriz-resolution

BioTRIZ: biological 40 principles + bio contradiction matrix. Resolve technical contradictions using biological inventive principles.

原文の言語: 英語

bisociation-network-construction

Build multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices.

原文の言語: 英語

blend-completion

Complete blend with background knowledge

原文の言語: 英語

blend-composition

Compose new connections in blended space

原文の言語: 英語

blend-elaboration

Run blend as mental simulation

原文の言語: 英語

boundary-critique

Apply CSH boundary critique — what is included/excluded, who benefits/is harmed, what expertise is privileged/marginalized. Identifies opportunities at the boundaries.

原文の言語: 英語

boundary-enumeration

Systematic Boundary Value Analysis: identify parameter boundaries, test at and beyond limits, detect breakpoints.

原文の言語: 英語

boundary-probing

Map parameter space, generate extreme values, test at boundaries, detect breakpoints, synthesize validity envelope.

原文の言語: 英語

boundary-synthesis

Compile all boundary analysis products into a coherent report — validity envelopes, robustness results, failure catalogs, scaling maps, safe operating conditions.

原文の言語: 英語

boundary-unfolding

Systematically expose hidden system boundaries — CSH 12-question is/ought comparison, identify excluded stakeholders, reveal blind spots. Combines csh-12-question, jtbd-mapping, and salience-classification SOPs.

原文の言語: 英語

breakpoint-detection

Test a claim at extreme parameter values and detect the precise point where it breaks down.

原文の言語: 英語

bridge-validation

Validate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer.

原文の言語: 英語

budget-constrained-design

Optimize experiment design under compute and time budget constraints

原文の言語: 英語

buffer-sizing

Calculate project, feeding, and resource buffers — shared with implementation-planning

原文の言語: 英語

capability-taxonomy-mapping

Build capability taxonomy, map existing benchmark coverage

原文の言語: 英語

categorize-papers

Cluster papers by theme, method, or timeline. Produces natural groupings from a paper collection. Used by scoping-survey and narrative-review.

原文の言語: 英語

category-sorting

Classify candidates into predefined categories using ELECTRE-Tri, FlowSort, AHPSort, or DRSA methods.

原文の言語: 英語

catwoe-analysis

Apply Checkland's CATWOE analysis from a specific stakeholder perspective to reveal how the problem looks from that viewpoint.

原文の言語: 英語

causal-chain-tracing

Trace UDE to root cause via IF...THEN...BECAUSE logic chains

原文の言語: 英語

causal-claim-extraction

Extract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs.

原文の言語: 英語

causal-necessity-testing

Tactic: Extract causal claims, evaluate probability of necessity (PN) and sufficiency (PS) for each, classify into necessity-sufficiency quadrants.

原文の言語: 英語

causal-tree-building

Build logical causal trees from symptoms to root causes — list UDEs, connect causal chains, validate logic, locate root causes. Combines ishikawa-decomposition, current-reality-tree, and clr-validation SOPs.

原文の言語: 英語

challenge-operation

Non-threatening 'Why?' questioning of current practices (de Bono Challenge)

原文の言語: 英語

challenge-questioning

Non-threatening 'Why?' questioning of current practices to reveal historical accidents vs. genuine constraints.

原文の言語: 英語

checkpoint-and-recover

Checkpoint state before risky operations, detect anomalies, and recover gracefully

原文の言語: 英語

citation-chaining

Forward and backward citation tracing tactic — expand paper coverage by tracing citation networks in both directions from seed/key papers. Alternates forward (who cited this) and backward (what this cited) passes until saturation.

原文の言語: 英語

citation-network-analysis

Build and analyze patent citation networks — main path analysis, PageRank, cluster detection

原文の言語: 英語

claim-analysis

Deep claim scope analysis — decompose independent/dependent claims and assess protection scope breadth. Budget: 30 patent families, 30 claim parses, 20 web searches.

原文の言語: 英語

claim-extraction

Strategy for extracting claims from source material — identify propositions, decompose compound claims, classify claim types, create claim pages in the vault.

原文の言語: 英語

claim-negation

Formally negate the core claim, producing the logical complement for reductio testing.

原文の言語: 英語

claim-parsing

Patent claim syntax parsing — independent/dependent relationships and element extraction

原文の言語: 英語

claim-refinement

Propose a refined claim that survives counterexamples while preserving maximum explanatory power (Lakatos lemma-incorporation).

原文の言語: 英語

classification-navigation

IPC/CPC hierarchy drill-down and lateral expansion for patent discovery

原文の言語: 英語

closest-worlds

Strategy: Lewis Possible Worlds — find the minimal change to reality that would flip the conclusion, measuring how close the nearest world where the conclusion fails.

原文の言語: 英語

clr-validation

Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity.

原文の言語: 英語

cluster-analysis

Identify natural opinion clusters from collected judgments and characterize each cluster.

原文の言語: 英語

coherence-diagnosis

Strategy for auditing preference consistency using Consistency Ratio, cycle enumeration, and mElo to detect and resolve intransitivities.

原文の言語: 英語