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2018 | OriginalPaper | Chapter

5. A Model of Computational Emotion

Author : M. Guadalupe Sánchez-Escribano

Published in: Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Publisher: Springer International Publishing

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Abstract

This thesis is concerned with the design of a reference model for emotion in artificial systems.

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previous chapter Principles for Computational Emotion
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Footnotes
1
It is able to (a) performance measurements, (b) use prior knowledge, (c) behave based on knowledge, and (d) store and use the sequence of perceptions till the current time.
 
2
We remark that there are hard differences between this conceptualization and the one that refers to the self-consciousness.
 
3
We are referring herein to inferences that involve methods at the intersection of machine learning, artificial intelligence, bayesian inference, probability, statistics or knowledge base systems among others.
 
4
The requirement for a theory of emotion in order to establish the assumptions that regard artificial emotion concerning a-Dimensions is strongly highlighted.
 
5
With our conceptualization, the displacement refers to some part of AGSys related to the error definition. However, for the purpose of an easier explanation, we will formulate our description by using AGSys and assuming what has been exposed herein.
 
6
Line of wellness is used for the sake of an easy explanation, since the proposed dynamical system allows for this simplification.
 
7
We will assume in our explanation continuity in either function and partial derivatives, according to the constraints of \(C^{1}\) [218].
 
8
This concept of autonomous system is also defined by Boss [27] as a system whose second members are not depending on time.
 
9
The search for possible solutions that might help to solve the hard problem of Self is out of the scope of this thesis. Instead, this work just uses those principles described in a widely accepted theory in order to build a computational feeling.
 
Metadata
Title
A Model of Computational Emotion
Author
M. Guadalupe Sánchez-Escribano
Copyright Year
2018
Book
Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Print ISBN: 978-3-319-59429-3

Electronic ISBN: 978-3-319-59430-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-59430-9_5

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