A Formal Model for Robot to Understand Common Concepts

Abstract

Can the robot think? This is a major topic of artificial intelligence and has always attracted the attention and exploration of many researchers. Since Searle proposed the Chinese House Thought Experiment in 1980, researchers have conducted extensive research on whether or not a formal symbolic system itself can understand the meaning of symbols, and have obtained many insights. From the perspective of cognitive science, this paper studies how robots understand knowledge, and proposes a general model that expresses robots’ understanding of common concepts (the simplest form of knowledge) to describe the process by which robots understand some simple knowledge. We actually find a new way for robots to understand complex knowledge. In this paper, we also illustrate our method by an example of robot’s understanding the concept of “pen”.