Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computing Networks: A General Framework to Contrast Neural and Swarm
  Cognitions   This paper presents the Computing Networks (CNs) framework. CNs are used to
generalize neural and swarm architectures. Artificial neural networks, ant
colony optimization, particle swarm optimization, and realistic biological
models are used as examples of instantiations of CNs. The description of these
architectures as CNs allows their comparison. Their differences and
similarities allow the identification of properties that enable neural and
swarm architectures to perform complex computations and exhibit complex
cognitive abilities. In this context, the most relevant characteristics of CNs
are the existence multiple dynamical and functional scales. The relationship
between multiple dynamical and functional scales with adaptation, cognition (of
brains and swarms) and computation is discussed.

17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph