人工智能和哲学逻辑视野中的局部语义
发布时间：2018-09-13 08:33
【摘要】：语境与语言、推理被并列为人工智能所面临的三大挑战,涉及语词多义、领域特定话语、文本先备知识等具体的技术问题。语境在人工智能领域的形式化以语境的"命题逻辑系统"和"局部模型语义"http://www.cnki.com.cn/"多语境系统"为代表。然而,语境问题的复杂之处在于,不同的会话场景,不同的文本不能被简单地归属给一系列定制好的语境——与一个个场景和文本对应的是一个个具体的语境:它们之间既不是简单的类属关系,也不是简单的组合关系,而是呈现出明显的家族类似性。
[Abstract]:Context and language and reasoning are the three major challenges faced by artificial intelligence, involving polysemous words, domain-specific discourse, text preparation knowledge and other specific technical issues. The formalization of context in the field of artificial intelligence is represented by "propositional logic system" and "local model semantics" http://www.cnki.com.cn/ "multi-context system". The complexity of the contextual problem, however, is that different conversational scenarios, Different texts can't simply be attributed to a series of customised contexts-they correspond to each scene and text in a specific context: they are not simple generic relationships, nor are they simple combinations. Rather, it presents obvious familial similarities.
【作者单位】： 南开大学哲学院;
【基金】：国家社科基金重大项目“现代归纳逻辑的新发展、理论前沿与认知研究“(15ZDB018)
【分类号】：B81-05;TP18
，
本文编号：2240621
[Abstract]:Context and language and reasoning are the three major challenges faced by artificial intelligence, involving polysemous words, domain-specific discourse, text preparation knowledge and other specific technical issues. The formalization of context in the field of artificial intelligence is represented by "propositional logic system" and "local model semantics" http://www.cnki.com.cn/ "multi-context system". The complexity of the contextual problem, however, is that different conversational scenarios, Different texts can't simply be attributed to a series of customised contexts-they correspond to each scene and text in a specific context: they are not simple generic relationships, nor are they simple combinations. Rather, it presents obvious familial similarities.
【作者单位】： 南开大学哲学院;
【基金】：国家社科基金重大项目“现代归纳逻辑的新发展、理论前沿与认知研究“(15ZDB018)
【分类号】：B81-05;TP18
，
本文编号：2240621
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