Abstract

The thesis is organized in the following approach. First, we will address some of the main issues for general artificial intelligence. Second, to enhance our understanding of the problems, this article will provide a general overview of two axiological theories presented from philosophy: absolutism and relativism. We will discuss some examples of how these concepts relate to machine learning algorithms. Third, we will argue the thesis statement that classification requires relativism to be useful. The goal of this paper is to show how relativism can be used as a strategy to help solve some of the issues for general artificial intelligence. The concept of relativity can be useful for: (1) axiology, (2) defining things, and (3) memory. Then, the paper will conclude with future and final thoughts on the subject matter.