Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach   We analyze the dynamics of agent--based models (ABMs) from a Markovian
perspective and derive explicit statements about the possibility of linking a
microscopic agent model to the dynamical processes of macroscopic observables
that are useful for a precise understanding of the model dynamics. In this way
the dynamics of collective variables may be studied, and a description of macro
dynamics as emergent properties of micro dynamics, in particular during
transient times, is possible.

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The categories of this paper are: atom-ph
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The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: stat
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The categories of this paper are: hep-lat
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The categories of this paper are: eess
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The categories of this paper are: econ
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The categories of this paper are: solv-int