yogsoth-ai/creative-ideation - Seite 3

synectics

Synectics Campaign — systematic use of analogy and metaphor for breakthrough associations via Gordon's 4 analogy types and excursion method.

Quellsprache: Englisch

synectics-synthesis

Synthesize all synectics outputs into a structured idea report. Combines results from all analogy types and excursion processes.

Quellsprache: Englisch

systematic-enumeration

Systematic Enumeration Campaign — exhaustive coverage analysis to discover overlooked solution spaces via benchmark sweep, method-problem matrix, ablation, and failure taxonomy

Quellsprache: Englisch

temporal-projection

View problem from 5yr/50yr/500yr future, backcast to generate temporally-informed creative solutions.

Quellsprache: Englisch

theorist-hat

Theorist perspective — assess theoretical foundations, formal rigor, and formalization opportunities.

Quellsprache: Englisch

time-machine

Temporal projection — view a solution from future/past time horizons to generate temporally-informed insights.

Quellsprache: Englisch

combination-evaluation

Evaluate new combinations for feasibility and novelty

Quellsprache: Englisch

consistency-checking

Pairwise consistency evaluation to reduce solution space by identifying and removing inconsistent combinations.

Quellsprache: Englisch

consistency-pair-evaluation

Evaluate pairwise value consistency (logical/empirical/normative)

Quellsprache: Englisch

cross-consistency-analysis

CCA: pairwise consistency checking to reduce solution space 90-99%

Quellsprache: Englisch

design-space-mapping

Visualize explored/unexplored regions of solution space

Quellsprache: Englisch

design-space-visualization

Generate structured description of design space

Quellsprache: Englisch

general-morphological-analysis

Ritchey GMA: complete iterative morphological process

Quellsprache: Englisch

matrix-construction

Build n-dimensional morphological matrix

Quellsprache: Englisch

morphological-exploration

Morphological Exploration Campaign — systematic dimension-combination enumeration to discover unexplored solution spaces via Zwicky box, CCA, and GMA

Quellsprache: Englisch

morphological-synthesis

Synthesize all morphological exploration outputs

Quellsprache: Englisch

parameter-variation

Systematic one-factor-at-a-time parameter sweep

Quellsprache: Englisch

path-generation

Generate combination paths through consistent space

Quellsprache: Englisch

solution-space-reduction

Apply CCA to remove inconsistent combinations

Quellsprache: Englisch

value-enumeration

Enumerate 3-5 values per parameter including extremes

Quellsprache: Englisch

white-space-detection

Identify matrix regions not covered by existing methods

Quellsprache: Englisch

white-space-identification

Identify unexplored viable regions in the morphological matrix where no existing methods operate.

Quellsprache: Englisch

zwicky-box-construction

Classic Zwicky box: parameter identification → value enumeration → matrix construction

Quellsprache: Englisch

abstraction-extraction

Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.

Quellsprache: Englisch

abstraction-to-design

Abstract biological principle to design principle. Bridge from biology to engineering.

Quellsprache: Englisch

analogical-transfer

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

Quellsprache: Englisch

analogy-quality-assessment

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

Quellsprache: Englisch

biological-function-mapping

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

Quellsprache: Englisch

biological-strategy-extraction

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

Quellsprache: Englisch

biologize-and-discover

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

Quellsprache: Englisch

biomimicry

Biomimicry Campaign — discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.

Quellsprache: Englisch

biomimicry-synthesis

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

Quellsprache: Englisch

biotriz-principle-selection

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

Quellsprache: Englisch

biotriz-resolution

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

Quellsprache: Englisch

bisociation-network-construction

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

Quellsprache: Englisch

bridge-validation

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

Quellsprache: Englisch

cross-domain-discovery

Cross-Domain Discovery Campaign — find transferable mechanisms from unrelated fields via bisociation, analogical transfer, random stimulus, and forced bridging

Quellsprache: Englisch

cross-domain-synthesis

Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.

Quellsprache: Englisch

design-by-analogy

Complete DBA process: problem reframe → source search → map → transfer → adapt. Full Design-by-Analogy methodology for systematic analogical design.

Quellsprache: Englisch

domain-divergence

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

Quellsprache: Englisch