【24h】

DISCOVERIES ON DEMAND

机译:按需发现

获取原文
获取原文并翻译 | 示例
       

摘要

This paper is the next logical step in discovering the algorithm for inventing new algorithms, the Algorithm of Discovery. This research is within the scope of investigation of the structure of the Primary Language of the human brain as introduced by J. von Neumann in 1957. In this paper, we revise our hypothesis that the Primary Language is a collection of algorithms crucial for survival and development of humanity including two major components, the algorithm optimizing warfighting, Linguistic Geometry (LG), and the Algorithm of Discovery. We suggest that the Primary Language is the Language of Visual Streams ("mental movies") that empower directly both of those components as well as all the human symbolic languages and sciences. The Algorithm of Discovery is based on multiple thought experiments, which manifest themselves via visual streams. Those streams can run concurrently and exchange information between each other. The streams may initiate additional thought experiments, program them, and execute them in due course. The streams may operate employing the algorithm of "a child playing a construction set" that includes a construction model, a construction set and the Ghost. The streams are focused employing several types of reasoning including proximity and mosaic reasoning. In this paper we introduce a concise discovery program generated as a result of execution of the Algorithm of Discovery. A discovery program consists of a recorded series of thought experiments in a way that every experiment either builds new theme of visual streams or utilizes themes built previously. A series of themes of streams is the key for making discoveries.
机译:本文是发现用于发明新算法的算法的下一步逻辑步骤,即发现算法。这项研究属于J. von Neumann在1957年提出的人类大脑主要语言结构的研究范围。在本文中,我们修改了以下假设:主要语言是对生存和生存至关重要的算法的集合。人类发展包括两个主要部分,优化战斗的算法,语言几何(LG)和发现算法。我们建议主要语言是视觉流语言(“心理电影”),可以直接赋予这些组件以及所有人类符号语言和科学以力量。发现算法基于多种思维实验,这些实验通过视觉流得以体现。这些流可以同时运行,并且可以在彼此之间交换信息。这些流可能会启动其他思维实验,对其进行编程,并在适当的时候执行它们。这些流可以采用包括构造模型,构造集合和Ghost的“孩子在玩构造集合的游戏”的算法来进行操作。使用几种类型的推理(包括邻近和镶嵌推理)将流聚焦。在本文中,我们介绍了一个简洁的发现程序,该程序是通过执行发现算法而生成的。一个发现程序由一系列记录下来的思维实验组成,每个实验要么建立视觉流的新主题,要么利用以前构建的主题。流的一系列主题是进行发现的关键。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号