语义学是真正认知计算的基础

V. Raskin
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引用次数: 0

摘要

在2014年的AAAI上,机器学习的创始人之一帕特·兰利(Pat Langley),最近也是机器学习的批评者之一,公开哀叹目前人工智能领域的“大问题”被抛弃了。的确,在对人类智能进行更多学习的过程中,人工智能常常与对人类智能活动的非智能模拟相混淆。无论是在美国还是在欧洲,认知计算都是试图让计算机掌握其运行领域的一些知识而出现的。认知机器人是这种方法的最新应用之一。我计划在全体会议上讨论的是,我们的本体语义技术提供了一个框架,用于捕获、结构化和计算机化我们对世界的全部知识,并在这些知识中锚定自然语言语义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantics as the basis of truly cognitive computing
At the 2014 AAAI, Pat Langley, one of the founders of machine learning and, recently, of its detractors, publicly lamented the current abandonment of the "big issues" in AI. Indeed, from emulating human intelligence in the process of learning more about it, AI is often confused with non-intelligent emulation of human intelligent activities. Both in the States and Europe, cognitive computing has emerged as attempts to equip the computer with some knowledge of the domain in which it operates. Cognitive robotics is one of the latest applications of this approach. What I am planning to discuss in the plenary is that our Ontological Semantic Technology offers a framework for capturing, structuring, and computerizing our entire knowledge of the world and anchoring natural language semantics in that knowledge.
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