人工智能处理的计算机体系结构

J. Delgado-Frías
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引用次数: 0

摘要

由于传统的面向数字的冯·诺伊曼计算机不适合人工智能(AI)软件,因此讨论了这种应用的新架构。考虑人工智能计算需求。提出了一组人工智能应用的需求和体系结构。LISP体系结构包括函数式编程和SPUR(使用RISCs的符号处理)系统作为一个例子进行了描述。面向逻辑的体系结构包括or并行和and并行。讨论了面向知识的体系结构和神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer architectures for artificial intelligence processing
Since the conventional numerically oriented von Neumann computers are not appropriate for artificial intelligence (AI) software, new architectures for this application are discussed. AI computational requirements are considered. The requirements as well as the architectures for a set of AI applications are presented. LISP architectures including functional programming and the SPUR (symbolic processing using RISCs) system as an example are described. Logic oriented architectures are considered including OR-parallelism and AND-parallelism,. Knowledge oriented architectures and neural networks are discussed.<>
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