人工认知的语境—觉知及其语境建模

Context-Awareness of Artificial Cognition and Its Contextual Modeling

人工智能要实现类人的智能,语境—觉知是实现这种目标的一种有效表征方法。引入语境—觉知的目的是让人工认知系统能够像人那样拥有语境能力,这是让人工智能更智能的关键一步。那么,什么是语境—觉知,其问题域和类型是什么,如何在语境中实现统一,一阶逻辑如何表征,如何语境地建模,这些问题是使人工认知系统类人化的关键,也是人工智能发展要解决的关键问题。

For artificial intelligence to achieve human-like intelligence,context-awareness is an effective representational method for achieving such goals.The purpose of introducing context-awareness is to enable artificial cognitive systems to have contextual capabilities like humans,which is a key step to make artificial intelligence smarter.Then,what is context-awareness,what is its problem domains and types,how can it be unified in the context,how does first-order logic represent it,and how to model it contextually,these are the key questions to make artificial cognitive systems human-like and the key problems to be solved in the development of artificial intelligence.