Creative Thinking
Analogical Problem Solving
Explore how celebrated innovations emerged from connecting ideas across distant domains, and train your ability to recognize deep structural patterns linking seemingly unrelated problems. You will practice analogical transfer, biomimicry, the SCAMPER technique, and combinatorial creativity through scenarios spanning biology, architecture, business, and technology. These exercises develop the cross-pollination instinct that research identifies as the single strongest predictor of creative output.
Context
Why this exercise
The strongest predictor of creative output in research by David Epstein, Kevin Dunbar, and Dedre Gentner is not depth in a single field but breadth across multiple unrelated ones. The architects of the Eastgate Centre cooled a building by studying termite mounds; Gutenberg combined a wine press with movable type and ink; medical researchers borrowed convergence from military strategy to invent intensity-modulated radiation therapy. This exercise builds the cross-pollination instinct — the ability to recognize a deep structural pattern from one domain in a problem from another, abstract it cleanly, and re-implement it in a new substrate.
Before you start
The cognitive foundation here is Dedre Gentner's Structure-Mapping Theory, refined over four decades of experimental work. Strong analogies map relational structures (a heart is like a pump because both produce pressurized flow through one-way valves) rather than surface features (a heart and a tomato are both red). The classic demonstration is Mary Gick and Keith Holyoak's 1980 radiation problem study, in which participants who had been told a military convergence story showed dramatically better performance on Duncker's radiation problem — but only when the structural correspondence was made explicit. Without the abstraction step, even subjects who had heard the analogous story failed to transfer it. This is the core challenge of analogical problem-solving: the cognitive distance from 'two unrelated stories' to 'same underlying structure' has to be bridged deliberately.
Janine Benyus's 1997 book formalized biomimicry as a discipline with structured methods, distinguishing principled abstraction from naive copying. The Eastgate Centre does not look like a termite mound; it abstracts the principle of passive convection-driven temperature regulation and re-implements it in concrete and steel. WhalePower wind turbines do not look like humpback fins; they abstract the principle that tubercles disrupt boundary-layer flow and re-implement it on a turbine blade. The same applies to combinatorial creativity, described by Arthur Koestler as 'bisociation': Gutenberg's printing press combined three existing technologies in a new configuration, and Steve Jobs described creativity as 'just connecting things' — the iPhone combined touchscreen, mobile internet, MP3 playback, and camera into a configuration that redefined computing.
Tools like SCAMPER (Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Reverse), developed by Bob Eberle from Alex Osborn's work, force systematic exploration of dimensions you would not think to question on your own. Each prompt attacks a different cognitive anchor that holds the current solution in place. As you work the scenarios, notice that domain expertise can both help and hurt: rich domain-specific encodings make structural patterns more accessible within the domain and less accessible across domains, which is why novices sometimes spot transfers that experts miss. The countermeasure is practicing the move of stripping a problem down to its relational skeleton before searching for analogues. For more on how analogies work in argument and reasoning generally, see Types of Reasoning.