A Study on Representation and Reasoning Techniques of Commonsense Episodic Knowledge: Challenges and Applications

Abstract

In the recent decades, there has been much research on the representation of commonsense knowledge and on inference techniques to manipulate that knowledge. This paper discusses the nature of commonsense knowledge highlighting the main challenges exist in acquiring, representing and reasoning with commonsense episodic knowledge from the view of artificial intelligence. In addition, the paper analyses the different approaches and techniques dealing with commonsense episodic knowledge in many fields, such as problem-solving, human-computer interaction, temporal reasoning, script learning and story generation.