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Artificial Intelligence and Algorithms in Intelligent Systems Advanced Analytics: Moving Forward Artificial Intelligence (AI), Algorithm Intelligent Systems (AIS) and General Impressions from the Field

机译:智能系统中的人工智能和算法高级分析:前进人工智能(AI),算法智能系统(AIS)和场上的一般印象

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摘要

The possibility of creating thinking systems discusses issues that may arise in the near future of AI. However this outlines challenges to ensure that AI operates safely as it approaches humans in its intelligence from Algorithms Intelligent Systems. To understand how progress may proceed we need to understand how existing algorithms are developed and improve, differentiating the concepts between data analytics and data algorithmic decision making. This article reviews the literature on AI and AIS and presents some general guidelines and a brief summary of research progress and open research questions. The first section reviews the basic foundation of Artificial Intelligence to provide a common basis for further discussions and the second section of this paper suggests the development of Algorithm Intelligence Systems models including: learning algorithms such as learning from observations, learning in Neural and Belief Networks and reinforcement learning.
机译:创建思维系统的可能性讨论了在AI不久的未来可能出现的问题。然而,这概述了确保AI安全地运行的挑战,因为它在算法中从算法智能系统识别人类时。要了解如何继续进步,我们需要了解现有的算法是如何开发和改进的,区分数据分析与数据算法决策之间的概念。本文审查了AI和AIS上的文献,并提出了一些一般指导方针,并简要摘要研究进展和开放研究问题。第一部分审查了人工智能的基础基础,为进一步讨论提供常见的基础,本文的第二部分表明了算法智能系统模型的发展,包括:学习算法,例如学习观察,在神经和信仰网络中学习加固学习。

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