Marco RipÃÆÃÂ and Gaetano Morelli
In this paper we provide a proposal to produce a new, computer-based generation of IQ tests for the high range (from +3σ and higher above the mean) without being prone to cheating. IQ tests are at a considerable risk of this kind and episodes of cheating have actually occurred, even on the most famous standardized and supervised IQ tests. As soon as a test is administered to a candidate, there is no longer the certainty that its items will remain secret; this is as a consequence of the “static nature” of IQ tests, and the problem may be solved through a dynamic system based on different items for each submission of the test. Our proposal is based on a method to construct new integer sequences starting from a given and explicit set of sequences, using information asymmetry (i.e. different items for each session). The related solving of problems will be linked to inference and retro-analytical reasoning, similar to the retrograde analysis of chess problems.
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