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Creative Insight: The Redistribution Theory    121























                   Figure 4.6.  Two examples of Match Stick Arithmetic Problems.

               This idea was put to the test by Guenter Knoblich and myself in a series
            of experiments with so-called Match Stick Arithmetic Problems, puzzles that
            exhibit a strong mismatch between prior experience and the requirements of
            the problem.  In such a problem, the goal is to correct an incorrect arithmetic
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            equation, written in Roman numerals made out of match sticks, by moving
            exactly one match stick to another place in the equation. Figure 4.6 shows two
            examples of this type of problem. The solutions to all Match Stick Arithmetic
            Problems used in our studies consist of exactly one step. There is little doubt
            that an average educated adult in Western culture will spontaneously activate
            his arithmetic knowledge when confronted with such a problem. But to solve
            it, he has to override the constraints normally followed in arithmetic. The solu-
            tion requires actions that are not valid in arithmetic.
               Consider the differences between problems 1 and 2 in Figure 4.6. Each
            problem  requires  a  single  step  and  so  has  the  same  objective  difficulty.
            Nevertheless, we found in a series of experiments that the second problem
            is more difficult than the first. The general principle of mismatches to prior
            knowledge does not suffice to explain this difference, because both problems
            will activate unhelpful arithmetic knowledge.
               Guenther Knoblich and I hypothesized that the differentiating factor is the
            scope of the representational shift that has to take place. To solve the top prob-
            lem, the person only has to override the constraint on altering the numbers in an
            equation, while leaving the structure of the equation intact. To solve the bottom
            problem, the structure and meaning of the entire equation have to be revised.
            Precise analysis of exactly which constraints have to be relaxed to solve a given
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