期刊名称：International Journal of Artificial Intelligence & Applications (IJAIA)
印刷版ISSN：0976-2191
电子版ISSN：0975-900X
出版年度：2020
卷号：11
期号：5/6
页码：55-63
DOI：10.5121/ijaia.2020.11606
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：One of the most challenging aspects of reasoning, planning, and acting in an agent domain is reasoning about what an agent knows about their environment to consider when planning and acting. There are various proposals that have addressed this problem using modal, epistemic and other logics. In this paper we explore how to take advantage of the properties of Answer Set Programming for this purpose. The Answer Set Programming's property of non-monotonicity allow us to express causality in an elegant fashion. We begin our discussion by showing how Answer Set Programming can be used to model the frogâs problem. We then illustrate how this problem can be represented and solved using these concepts. In addition, our proposal allows us to solve the generalization of this problem, that is, for any number of frogs.
关键词：Agent;Logic;Answer Set Programming;Planning;Reasoning.
