Words (phrases or symbols) play a key role in human life. Word (phrase or symbol) representation is the fundamental problem for knowledge representation and understanding. A word (phrase or symbol) usually represents a name of a category. However, it is always a challenge that how to represent a category can make it easily understood. In this paper, a new representation for a category is discussed, which can be considered a generalization of classic set. In order to reduce representation complexity, the economy principle of category representation is proposed. The proposed category representation provides a powerful tool for analyzing conceptual systems, relations between words, communication, knowledge, situations. More specifically, the conceptual system, word relations and communication are mathematically defined and classified such as ideal conceptual system, perfect communication and so on; relation between words and sentences is also studied, which shows that knowledge are words. Furthermore, how conceptual systems and words depend on situations is presented, and how truth is defined is also discussed.
A neural network for modeling human concept formation, understanding and communication
Laboratory of Brain Atlas and Brain-inspired Intelligence（脑图谱与脑启发智能实验室）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Future Technology（未来技术学院）；University of Chinese Academy of Sciences（中国科学院大学）；State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology（脑认知与脑启发智能技术国家重点实验室）；School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health（心理学与认知科学学院及北京行为与心理健康重点实验室）；IDG/McGovern Institute for Brain Research（IDG/麦戈文脑科学研究院）；Institute for Artificial Intelligence（人工智能研究所）；Key Laboratory of Machine Perception (Ministry of Education)（机器感知重点实验室）
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
School of Computer Science, Fudan University（复旦大学计算机科学学院）；Institute of Modern Languages and Linguistics, Fudan University（复旦大学现代语言与语言学研究所）；Research Institute of Intelligent Complex Systems, Fudan University（复旦大学智能复杂系统研究院）；Department of Psychology, Harvard University（哈佛大学心理学系）
