yogsoth-ai/creative-ideation

abstraction-ladder

Perform bisociation at multiple abstraction levels

Quellsprache: Englisch

blend-completion

Complete blend with background knowledge

Quellsprache: Englisch

blend-composition

Compose new connections in blended space

Quellsprache: Englisch

blend-construction

Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.

Quellsprache: Englisch

blend-elaboration

Run blend as mental simulation

Quellsprache: Englisch

combinatorial-creativity

Combinatorial Creativity Campaign — produce emergent concepts via concept blending, multi-level bisociation, and function combination (Fauconnier-Turner)

Quellsprache: Englisch

combinatorial-synthesis

Synthesize all combinatorial creativity outputs

Quellsprache: Englisch

concept-blending

Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space

Quellsprache: Englisch

design-space-exploration

Parametric variation + constraint satisfaction combinatorial search

Quellsprache: Englisch

emergence-detection

Detect and validate emergent properties from combinations. Orchestrates emergent-property-identification → blend-elaboration.

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

function-combination

TRIZ function analysis: function-level recombination and redistribution

Quellsprache: Englisch

function-redistribution

Redistribute functions across different components

Quellsprache: Englisch

generic-space-extraction

Extract shared abstract structure from two input spaces

Quellsprache: Englisch

input-space-construction

Build input spaces for two source concepts

Quellsprache: Englisch

multi-level-bisociation

Simultaneous concept collision at multiple abstraction levels

Quellsprache: Englisch

vital-relation-mapping

Map 15 vital relations between concepts

Quellsprache: Englisch

alternatives-generation

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

Quellsprache: Englisch

challenge-operation

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

Quellsprache: Englisch

challenge-questioning

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

Quellsprache: Englisch

concept-fan-expansion

Expand concept fan from purpose through concepts to directions to ideas (de Bono Concept Fan).

Quellsprache: Englisch

concept-fan

Expand from purpose to concepts to directions to ideas (de Bono Concept Fan)

Quellsprache: Englisch

concept-hierarchy

Build concept levels from purpose through concepts to ideas, with escape and fractionation at each level.

Quellsprache: Englisch

escape-technique

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

Quellsprache: Englisch

fractionation

Split concepts into smaller units and recombine them differently to produce novel structures.

Quellsprache: Englisch

green-hat-session

Structured creative thinking in Six Hats Green Hat mode — pure creative output with judgment suspended.

Quellsprache: Englisch

lateral-synthesis

Synthesize all lateral thinking intermediate outputs into a structured idea report.

Quellsprache: Englisch

lateral-thinking

Lateral Thinking Campaign — escape logical thinking tracks via PO/movement, random entry, concept fan, challenge, and six hats (de Bono)

Quellsprache: Englisch

movement-extraction

Extract constructive directions from provocations via 4 movement types (moment-to-moment, principle, focus difference, positive aspects).

Quellsprache: Englisch

movement-operation

Extract constructive directions from PO provocations using 4 movement types (moment-to-moment, principle, focus difference, positive aspects).

Quellsprache: Englisch

provocation-and-movement

PO + Movement: generate provocations then extract useful directions (4 movement types)

Quellsprache: Englisch

random-entry

Random word/concept as thinking entry point (de Bono Random Entry)

Quellsprache: Englisch

six-hats-ideation

Green Hat focused creative thinking within Six Hats framework

Quellsprache: Englisch

stepping-stone

Use impractical ideas as stepping stones to reach practical solutions (de Bono Stepping Stone technique).

Quellsprache: Englisch

ablation-brainstorm

Remove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.

Quellsprache: Englisch

ablation-execution

Remove components one by one from a system, record the response/impact of each removal.

Quellsprache: Englisch

analogy-chain

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

Quellsprache: Englisch

benchmark-inventory

Catalog all known solutions/methods in a domain with performance, applicability, and limitations.

Quellsprache: Englisch

benchmark-sweep

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

Quellsprache: Englisch