Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Feedback System Neural Networks for Inferring Causality in Directed
  Cyclic Graphs   This paper presents a new causal network learning algorithm (FSNN, Feedback
System Neural Network) based on the construction and analysis of a non-linear
system of Ordinary Differential Equations (ODEs). The constructed system
provides insight into the mechanisms responsible for generating the past and
potential future behavior of dynamic systems. It is also interpretable in terms
of real system variables, providing a wholistic, causally accurate, and
systemic understanding of the real-life interactions governing observed
phenomena. This paper demonstrates the generation of an n-dimensional ordinary
differential equation model that can be parameterized to fit measured data
using standard numerical optimization techniques. The model makes use of feed
forward artificial neural nets to capture nonlinearity, but is a parsimonious
and interpretable representation of the network of causal relationships in
complex systems. The generated model can easily and rapidly be experimented
with and analyzed to determine the origins of behavior using the loops that
matter method (Schoenberg et. al 2019). A demonstration of the utility and
applicability of the method is given, showing that it produces an accurate, and
causally correct model for a three state, non-linear, complex dynamic system of
known origin. Generalization to other dynamic systems with other data sources
is then discussed.

26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci