Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Causal Modeling With Infinitely Many Variables   Structural-equations models (SEMs) are perhaps the most commonly used
framework for modeling causality. However, as we show, naively extending this
framework to infinitely many variables, which is necessary, for example, to
model dynamical systems, runs into several problems. We introduce GSEMs
(generalized SEMs), a flexible generalization of SEMs that directly specify the
results of interventions, in which (1) systems of differential equations can be
represented in a natural and intuitive manner, (2) certain natural situations,
which cannot be represented by SEMs at all, can be represented easily, (3) the
definition of actual causality in SEMs carries over essentially without change.

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The categories of this paper are: astro-ph
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The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
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The categories of this paper are: math
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
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The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg