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About this book

This book provides a new perspective on emotion in artificial systems. It presents an insightful explanation of how emotion might emerge deep inside the systems, and emotional behaviour could be seen as a consequence of their internal management. The final approach attempts to account for a range of events associated with emotion, from functional and behavioural features to aspects related to the dynamics and the development of feeling. The book provides a theoretical foundation for engineering and designing computational emotion as a framework for developing future adaptive systems. It includes a painstaking analysis of the rationales for the features of the final approach, including aspects from the fields of Artificial Intelligence, Psychology, the Cognitive Sciences and Model-based Systems. Synthesizing knowledge from a variety of disciplines, it ultimately presents a model conceptualization following the perspectives of Engineering and the Cognitive Sciences.

Table of Contents

Frontmatter

Chapter 1. Introduction

This thesis presents a proposal of a reference model for emotion in artificial systems.

M. Guadalupe Sánchez-Escribano

Chapter 2. Models

Here are some descriptions of model, according to distinct standards and norms in computer science.

M. Guadalupe Sánchez-Escribano

Chapter 3. State of the Art

This thesis has needed a particular purpose of understanding emotion science from the wide range of perspectives that we can find in the state of the art.

M. Guadalupe Sánchez-Escribano

Chapter 4. Principles for Computational Emotion

In this chapter and following in this dissertation, we will differentiate artificial emotion from computational emotion in the sense that the former will refer to the complete phenomena that an artificial system might deploy, and the later will refer to the set of models that might allow for that phenomena.

M. Guadalupe Sánchez-Escribano

Chapter 5. A Model of Computational Emotion

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

M. Guadalupe Sánchez-Escribano

Chapter 6. Discussion

The emotional phenomena explored in this thesis has been studied from a wide variety of fields of knowledge. These knowledge categories can be classified into two main groups: (a) the fields of psychology, cognitive science, neurology and biological sciences reviewed to obtain a better understanding of the emotional phenomena, and (b) several computer science branches such as Autonomic Computing (AC), Self-adaptive software, Self-X systems, Model-Integrated Computing (MIC) or the paradigm of models@runtime among others, in order to obtain knowledge about the various tools needed to design each part of the solution.

M. Guadalupe Sánchez-Escribano

Chapter 7. Future Works

The aim of this thesis is to investigate emotion in life systems, from the perspective of the artificial systems.

M. Guadalupe Sánchez-Escribano

Backmatter

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