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Because the concept seems too simple, most of the websites implementing the idea can't avoid the common pitfall: [[informational cascade]] in soliciting human preference. For example, [[digg]]-style implementations, pervasive on the web, heavily bias subsequent human evaluations by prior ones by showing how many votes the items already have. This makes the aggregated evaluation depend on a very small initial sample of rarely independent evaluations. This encourages many people to [[game the system]] that might add to digg's popularity but detract from the quality of the featured results. It is too easy to submit evaluation in digg-style system based only on the content title, without reading the actual content supposed to be evaluated.
A better example of a human-based selection system is [[Stumbleupon]]. In Stumbleupon, users first experience the content (stumble upon it), and can then submit their preference by pressing a thumb-up or
===Human-based evolution strategy===
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# Kosorukoff, A. (2000) Social classification structures. Optimal decision making in an organization, Genetic and Evolutionary Computation Conference, GECCO-2000, Late breaking papers, 175—178 [http://www.ews.uiuc.edu/~kosoruko/pub/classtre.pdf online]
# Kosorukoff, A. (2000) Human-based genetic algorithm [https://web.archive.org/web/20091027041228/http://geocities.com/alex%2Bkosorukoff/hbga/hbga.html online]
# Cunningham, Ward and Leuf, Bo (2001): The Wiki Way. Quick Collaboration on the Web. Addison-Wesley,
# Kosorukoff, A (2001), Human-based Genetic Algorithm. IEEE Transactions on Systems, Man, and Cybernetics, SMC-2001, 3464-3469
# Kosorukoff, A, Goldberg D. E. (2002), Evolutionary computation as a form of organization, Proceedings of Genetic and Evolutionary Computation Conference, GECCO-2002, pp 965–972
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