A Heuristic Approach to Innovative Problem Solving
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 2
Abstract
A methodic approach to innovative problem solving is suggested. First, Bayesian techniques are analyzed for quantifying, monitoring and predicting the process. The symmetry of Bayes‟ theorem implicates that the chances of success offrail ideas with small base rates can be boosted by highly accurate tests built on solid scientific ground. Second, a hypothesis is presented in which five methodic elements – connection, selection, transformation, balance and finish - are deemed to be necessary and sufficient to explain innovative solutions to complex problems. The hypothesis is supported by the analysis of disruptive innovations in several fields, and by emulation of a data base including 40,000 inventions.The reported findings may become useful in the further methodic development of innovative problem solving, especially in the risky and lengthy preconceptual phases.
Authors and Affiliations
Bertil Hök
Keywords
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- DOI 10.9790/9622- 0702047277.
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