人工智能在实时控制中的应用趋势(一项推测性研究)

L Motus
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引用次数: 4

摘要

在分析实时系统和基于人工智能的系统的基本特性的基础上,指出了实时人工智能应用的一些理论发展趋势。进化的主流是增加跨学科的整合。举例说明了三个子趋势:方法的机械组合,用于“经典”问题近似解的人工智能方法,以及在新领域应用的抽象方法。此外,还指出了集成电路与实时系统设计之间的相似性,以及在系统开发的早期阶段增加了形式验证的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends in artificial intelligence applications for real-time control (a speculative study)

Some of the theory-bound evolutional trends in real-time AI applications are pointed out based on analysis of essential properties of real-time systems as well as AI based systems. The evolutional mainstream is increasing interdisciplinary integration. Three subtrends are illustrated on examples: mechanical combination of methods, AI methods used for approximate solution of “classical” problems, and abstract methods applied in new domains. In addition similarity between integrated circuits and real-time systems design and increased use of formal verification at the early stages of systems development are pointed out.

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