迈向集体超级智能：利用对话群体放大群体智商
Towards Collective Superintelligence: Amplifying Group IQ using Conversational Swarms
AI总结：
本文研究对话群体智能（CSI）平台在群体智商测试中的表现，发现约35人群体通过Thinkscape协作答题平均正确率达80.5%，相当于智商提高28分，表明CSI有望实现大规模集体超级智能。
摘要：
群体智能（SI）是一种自然现象，使生物群体能够通过形成实时系统来放大其集体智力。人工群体智能（或称 Swarm AI）是一种技术，使联网的人类群体能够通过形成类似系统来放大其集体智能。过去，基于群体的方法被限制在狭义定义的任务上，如概率预测和多项选择决策。2023 年开发了一种名为对话群体智能（CSI）的新技术，通过自然对话式商议来放大联网人类群体的决策准确性。本研究评估了使用 CSI 平台的实时群体参加一项常见智商测试——瑞文高级渐进矩阵（RAPM）的能力。首先，一个基线参与者群体通过传统问卷方式参加瑞文智商测试。该群体平均正确率为 45.6%。随后，约 35 人的群体使用名为 Thinkscape 的 CSI 平台共同回答智商测试问题。这些群体平均正确率达到 80.5%。这使 CSI 群体处于智商测试参与者的第 97 百分位，相当于有效智商提高 28 分（p<0.001）。这是一个令人鼓舞的结果，表明 CSI 是一种在大规模联网群体中实现对话式集体智能的强大方法。此外，由于 CSI 可以扩展到任意规模的群体，这项技术可能为构建集体超级智能提供一条可行的路径。
英文摘要：
Swarm Intelligence (SI) is a natural phenomenon that enables biological groups to amplify their combined intellect by forming real-time systems. Artificial Swarm Intelligence (or Swarm AI) is a technology that enables networked human groups to amplify their combined intelligence by forming similar systems. In the past, swarm-based methods were constrained to narrowly defined tasks like probabilistic forecasting and multiple-choice decision making. A new technology called Conversational Swarm Intelligence (CSI) was developed in 2023 that amplifies the decision-making accuracy of networked human groups through natural conversational deliberations. The current study evaluated the ability of real-time groups using a CSI platform to take a common IQ test known as Raven's Advanced Progressive Matrices (RAPM). First, a baseline group of participants took the Raven's IQ test by traditional survey. This group averaged 45.6% correct. Then, groups of approximately 35 individuals answered IQ test questions together using a CSI platform called Thinkscape. These groups averaged 80.5% correct. This places the CSI groups in the 97th percentile of IQ test-takers and corresponds to an effective IQ increase of 28 points (p<0.001). This is an encouraging result and suggests that CSI is a powerful method for enabling conversational collective intelligence in large, networked groups. In addition, because CSI is scalable across groups of potentially any size, this technology may provide a viable pathway to building a Collective Superintelligence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
