Creative Problem Solving Simulator

Idea Space

Idea generation rate 2.0/s

Divergent spread 1.0

Convergent refinement 1.0

Ideas generated

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Ideas kept

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Best idea score

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Rejected

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How it works

Each idea node branches off a random existing node — the central problem at first, then any idea already on the map — the same way a mind map grows outward from one topic. A force-directed layout keeps the graph readable: every pair of nodes pushes the others away (divergent spread), while each branch's edge pulls its idea back toward its parent (convergent refinement). Push and pull settle into a natural, uncluttered fan of branches, exactly like sketching a mind map by hand. When the SCAMPER filter is on, every new idea is scored for viability the instant it's proposed; scores below the threshold shrink and vanish instead of joining the map — a stand-in for applying a constraint (Substitute, Combine, Adapt…) before committing to an idea.

repel(i,j) = k_spread / dist(i,j)²
spring(edge) = k_converge · (dist − restLength)
viability = random(); kept ⟺ viability ≥ threshold (filter on)

Idea generation rate — how often a new branch is proposed; a higher rate floods the map faster, mirroring a fast brainstorming pace.
Divergent spread — repulsion strength between ideas; higher values fan the map wider, encouraging ideas that stay distinct from one another.
Convergent refinement — spring pull back toward a parent idea; higher values cluster related ideas tightly, mirroring the iterate-and-refine stage.
SCAMPER filter — toggles whether low-viability ideas are culled on arrival (constrained, curated map) or left to accumulate freely (raw, unfiltered brainstorm).

Real-world relevance: this divergence/convergence balance is the core rhythm behind design thinking and structured brainstorming — generate broadly without judgment, then apply a filter or checklist to narrow the field before prototyping.

Problem High-viability idea Low-viability idea Rejected (filtered out)

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