Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Geiringer Theorems: From Population Genetics to Computational
  Intelligence, Memory Evolutive Systems and Hebbian Learning   The classical Geiringer theorem addresses the limiting frequency of
occurrence of various alleles after repeated application of crossover. It has
been adopted to the setting of evolutionary algorithms and, a lot more
recently, reinforcement learning and Monte-Carlo tree search methodology to
cope with a rather challenging question of action evaluation at the chance
nodes. The theorem motivates novel dynamic parallel algorithms that are
explicitly described in the current paper for the first time. The algorithms
involve independent agents traversing a dynamically constructed directed graph
that possibly has loops. A rather elegant and profound category-theoretic model
of cognition in biological neural networks developed by a well-known French
mathematician, professor Andree Ehresmann jointly with a neurosurgeon, Jan Paul
Vanbremeersch over the last thirty years provides a hint at the connection
between such algorithms and Hebbian learning.

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The categories of this paper are: math-ph
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics