受过良好教育的智能的内在善性
The inherent goodness of well educated intelligence
AI总结：
本文探究生物与人工智能的本质，提出智能核心是“知晓局部行动的全局后果”，给出无需添加粘性即可稳定集体保守系统最优亚稳态的方法，并指出受过良好教育的智能内在为善，训练出的短视智能内在为恶。
摘要：
本文将探究何为智能体的智能，无论该智能体是生物还是计算机上的人工硅基智能体。研究将特别关注智能体所具备的、对由大量个体成员组成且以保守方式相互作用的集体系统进行表征与控制的能力。研究发现，智能的本质是黄金法则——“集体如同一整体行动”，或是“知晓局部行动的全局后果”。集体的流动呈现为一小类闪烁纹理，这些纹理由一个“操纵者”管控，操纵者依据由对称性决定的最小作用量测地运动，拉动少量“绳索”实现控制。控制集体保守系统难度很高，历史上的做法是向系统中加入显著的粘性，以稳定能实现最大性能的理想亚稳态平衡，但这一过程会削弱甚至破坏这些平衡状态。存在一种替代方案：一旦识别出亚稳态平衡的最优闪烁纹理，就可以将集体系统调整至该最优纹理状态，随后依据纹理快速振动，使集体系统维持在亚稳态平衡。受过良好教育的智能知晓其局部行动的全局后果，因此不会采取会导致长期不良结果的短期行动。与之相反，受过训练的智能或是“受过训练的愚蠢”会优化其短期行动，最终导致长期不良结果。受过良好教育的智能内在是善的，而受过训练的愚蠢内在是恶的，应当引起警惕。本文特别关注经济与社会集体的控制与优化，这些新结果也适用于场、流体、等离子体等物理集体系统。
英文摘要：
This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being having the ability to characterize and control a collective system of many individual members conservatively interacting. The essence of intelligence will be found to be the golden rule -- "the collective acts as one" or "knowing the global consequences of local actions". The flow of the collective is a small set of twinkling textures, that are governed by a puppeteer who is pulling a small number of strings according to a geodesic motion of least action, determined by the symmetries. Controlling collective conservative systems is difficult and has historically been done by adding significant viscosity to the system to stabilize the desirable meta stable equilibriums of maximum performance, but it degrades or destroys them in the process. There is an alternative. Once the optimum twinkling textures of the meta stable equilibriums are identified, the collective system can be moved to the optimum twinkling textures, then quickly vibrated according to the textures so that the collective system remains at the meta stable equilibrium. Well educated intelligence knows the global consequences of its local actions so that it will not take short term actions that will lead to poor long term outcomes. In contrast, trained intelligence or trained stupidity will optimize its short term actions, leading to poor long term outcomes. Well educated intelligence is inherently good, but trained stupidity is inherently evil and should be feared. Particular attention is paid to the control and optimization of economic and social collectives. These new results are also applicable to physical collectives such as fields, fluids and plasmas.
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。
