Artificial Intelligence Models of Emotion
Artificial Intelligence Models of Emotion
复制标题
人工智能情感模型
DOI：
--
复制
发表时间：
1988
期刊：
影响因子：
--
通讯作者：
R. Pfeifer
中科院分区：
文献类型：
--
作者：
R. Pfeifer
我们在这里使用的术语人工智能(AI)是认知科学的一部分。根据定义，认知科学是对认知的跨学科研究。参与的学科有人工智能、心理学(特别是认知心理学)、语言学、哲学和神经生物学。对情绪的研究不仅包括认知方面，还包括生理和表达方面，以及主观体验。因此，情绪是认知科学研究的一个非常出色的领域。如果几个学科必须合作，那么就必须有一种共同语言。这种语言是由人工智能提供的。在过去的30年里，人工智能中最主要和最基本的研究方向之一是知识表示问题。尽管关于知识应该如何表达没有达成共识，但似乎有许多方法非常适合我们的目的。目标、计划或复杂的知识结构的概念是理解情感的有用隐喻。
Artificial Intelligence (AI), as we use the term here, is part of Cognitive Science. Cognitive Science is, by definition, the interdisciplinary study of cognition. Participating disciplines are AI, psychology (in particular, cognitive psychology), linguistics, philosophy, and neurobiology. The study of emotion not only includes cognitive aspects but also physiological and expressive ones, as well as subjective experience. Thus emotion is a field for cognitive science research par excellence. If several disciplines have to work together there must be a common language. This language is provided by AI. One of the major and most basic research strands in AI for the last 30 years has been the problem of knowledge representation. Although there is no consensus on how knowledge should be represented, there are many approaches which seem well-suited for our purposes. The concepts of goals, plans, or complex knowledge structures serve as useful metaphors for understanding emotion.