Turning the Cacophony of the Internet's Tower of Babel into a Coherent General Collective Intelligence

Q2 Decision Sciences
Andy E. Williams
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引用次数: 0

Abstract

Increasing the number, diversity, or uniformity of opinions in a group does not necessarily imply that those opinions will converge into a single more “intelligent” one, if an objective definition of the term intelligent exists as it applies to opinions. However, a recently developed approach called human-centric functional modeling provides what might be the first general model for individual or collective intelligence. In the case of the collective intelligence of groups, this model suggests how a cacophony of incoherent opinions in a large group might be combined into coherent collective reasoning by a hypothetical platform called “general collective intelligence” (GCI). When applied to solving group problems, a GCI might be considered a system that leverages collective reasoning to increase the beneficial insights that might be derived from the information available to any group. This GCI model also suggests how the collective reasoning ability (intelligence) might be exponentially increased compared to the intelligence of any individual in a group, potentially resulting in what is predicted to be a collective superintelligence.
将互联网巴别塔的神秘感转化为连贯的集体智慧
如果“智能”一词在适用于意见时存在客观定义,那么增加一个群体中意见的数量、多样性或一致性并不一定意味着这些意见会汇聚成一个更“智能”的意见。然而,最近开发的一种称为以人为中心的功能建模的方法提供了可能是个人或集体智能的第一个通用模型。在群体的集体智慧的情况下,该模型表明,一个名为“一般集体智慧”(GCI)的假设平台可能会将一个大群体中不连贯的意见的不和谐声音组合成连贯的集体推理。当应用于解决群体问题时,GCI可能被认为是一个利用集体推理来增加从任何群体可用的信息中获得的有益见解的系统。这个GCI模型还表明,与群体中任何个人的智力相比,集体推理能力(智力)可能会呈指数级增长,从而可能导致被预测为集体超级智能的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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