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Processing of artificial consciousness into open function: meta

机译:将人工意识转化为开放功能:元

摘要

A method () and an exponential structure allow a machine to use a self-improvement protocol in which a given system ((, which can delay operations on physical archival Technology) rewrites its own code. When it can generate new code, it provides a better strategy, such as by integrating ordinary data such as numbers Mathematical formulas and theories are provided by the integrated information framework in a single functional processing unit. More specifically, the protocol recycles mathematical formulas and models as inputs, which can range from simple numbers to complex artificial neural networksOrks models used in machine learning and integrate such complexity to expand them“and create new concepts out of them that will later be integrated in an overall functional framework rather then simply being coded in ordinary networks. As allowed while computingMechanical complexity or integration refers to the realization of human complexity and constant integral parallel intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence artificial intelligence Create an increased coherent system and function at a high level through basic inputs in a complex major design.
机译:方法()和指数结构允许机器使用自我完善协议,其中给定系统((,这可能会延迟物理档案技术上的操作)重写自己的代码。当它可以生成新代码时,它会提供一个更好的策略,例如通过集成普通数据(例如数字),集成的信息框架在单个功能处理单元中提供数学公式和理论,更具体地说,该协议将数学公式和模型作为输入进行回收,其范围从简单的数字到复杂的人工神经网络机器学习中使用的Orks模型和集成这种复杂性以扩展它们”,并从中创建新概念,这些新概念随后将被集成到整个功能框架中,而不是简单地在普通网络中进行编码。指实现人类的复杂性和不断积分的并行智能技术人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能人工智能通过复杂的主要设计中的基本输入,在高水平上创建增强的一致性系统和功能。

著录项

  • 公开/公告号TN2018000077A1

    专利类型

  • 公开/公告日2019-07-08

    原文格式PDF

  • 申请/专利权人 YASSINE KRIMA;

    申请/专利号TN20180000077

  • 发明设计人 YASSINE KRIMA;

    申请日2018-03-06

  • 分类号G06F15/76;

  • 国家 TN

  • 入库时间 2022-08-21 12:00:44

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