Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Emotion: A Computational Model of Emotion Using Deep Neural
  Networks   Emotions are very important for human intelligence. For example, emotions are
closely related to the appraisal of the internal bodily state and external
stimuli. This helps us to respond quickly to the environment. Another important
perspective in human intelligence is the role of emotions in decision-making.
Moreover, the social aspect of emotions is also very important. Therefore, if
the mechanism of emotions were elucidated, we could advance toward the
essential understanding of our natural intelligence. In this study, a model of
emotions is proposed to elucidate the mechanism of emotions through the
computational model. Furthermore, from the viewpoint of partner robots, the
model of emotions may help us to build robots that can have empathy for humans.
To understand and sympathize with people's feelings, the robots need to have
their own emotions. This may allow robots to be accepted in human society. The
proposed model is implemented using deep neural networks consisting of three
modules, which interact with each other. Simulation results reveal that the
proposed model exhibits reasonable behavior as the basic mechanism of emotion.

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The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg