Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning in Artificial Intelligence: Towards a Common
  Understanding   The application of "machine learning" and "artificial intelligence" has
become popular within the last decade. Both terms are frequently used in
science and media, sometimes interchangeably, sometimes with different
meanings. In this work, we aim to clarify the relationship between these terms
and, in particular, to specify the contribution of machine learning to
artificial intelligence. We review relevant literature and present a conceptual
framework which clarifies the role of machine learning to build (artificial)
intelligent agents. Hence, we seek to provide more terminological clarity and a
starting point for (interdisciplinary) discussions and future research.

6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an