A Cognitive Appraisal Based Approach for Emotional Representation

A Cognitive Appraisal Based Approach for Emotional Representation

Sigerist J. Rodríguez (Universidad del Zulia, Venezuela), Pilar Herrero (Universidad Politécnica de Madrid, Spain) and Olinto J. Rodríguez (Universidad del Zulia, Venezuela)
DOI: 10.4018/978-1-60566-354-8.ch013
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Today, realism and coherence are highly searched qualities in agent’s behavior; but these qualities cannot be achieved completely without incorporation of emotions. This chapter shows a model for emotional representations in intelligent agents. The model is based on the cognitive appraisal theory of emotions; this theory affirms that stimuli are processed by a cognitive mechanism that determines what emotion to feel. It is also based on the Aaron Sloman’s research where positively and negatively affective states are exposed, as well as, on the theory of basic emotions. The model tries to define an emotional representation data structure for intelligent agents. It also defines the emotional behavior mechanisms when a stimulus is processed, as well as, emotional interaction mechanisms. This chapter is presented in five sections: Introduction, where the topic is presented. State-of-the-Art, where it is introduced a review of emotional studies in psychological areas, as well as, computing areas. The Model Definition section, where a detailed model structure and mechanism are introduced. A fourth section describing the future trends and researches and finally the chapter conclusions.
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The beginnings of the emotional studies could be set back in Athens where Socrates proposed the inalterable human behavior principles existence, among them, the good feelings like ethics. In modern times, Charles Darwin conducts studies about emotions expression in humans and animals (Darwin, 1899). Darwin’s studies are centered in the way humans and animals express their emotions and not in mechanisms for generating experience and processing emotions. Darwin’s studies take for granted the existence of emotions in humans and animals, introducing in an implicit way the basic emotions idea. According to him, there is a set of emotions which is present in any human being, since its birth, no matter ethnics or social conditions, affirming that these basic emotions are present in high level animals, too.

Key Terms in this Chapter

Emotion Persistence: This represents the agent’s tendency to continue experiencing an emotion once finished an exciting stimulus.

Emotional Stimulus: Direct emotions stimuli are the result of the sensorial stimulus processing by the cognitive mechanisms. When an event occurs in the environment, sensorial stimuli are received by the agent. The cognitive mechanisms process this stimulus and generate the emotional stimulus for each one of the emotions to be affected.

Emotion Susceptibility: This represents the ease of increasing an emotion value. Susceptibility can be considered as the agent disposition to experience an emotion with greater or smaller intensity. This means that agents with a greater susceptibility in an emotion will reach greater values than an agent with smaller susceptibility, with the same stimulus.

Emotional Interaction: The emotional interaction mechanism describes the way emotions affect each other. Emotions can have an augmenting or diminishing effect over other emotions. When an emotion is excited, this one could affect another emotion behavior, and this affection is what we call emotional interaction.

Emotional Stabilization: Emotional Stabilization is a gradual process that occurs in the emotion when a stimulus is processed. This process tends to set the emotion equal to the emotion normal value through the increment or diminish of the current value. When a stimulus is processed for the emotion, the emotion value changes, if no further stimulus are received for this emotion its value will be gradually affected to become equal to the emotion normal value. In order to achieve this, the model uses the EMOTION_PERSISTENCE which represents the number of iterations that should pass until increment or diminish emotion value in one (1), to make it close to the NORMAL_EMOTION_VALUE. Even when the increment or diminish is equal to one (1) when some iterations pass, on each iteration the EMOTION_VALUE should be modified in a fraction depending on the EMOTION_PERSITENCE value.

Sensorial Stimulus: The sensorial stimulus are a set of values related to an event that the agent is able to read, perceive through its perception mechanisms and can interpret based on the received values, although the agent not necessarily does know the exact stimuli.

Autonomous Emotion Development: This is the capacity of an agent to develop its emotions, according the received experiences, with a minimal human direct intervention.

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Editorial Advisory Board
Table of Contents
Craig DeLancey
Jordi Vallverdú, David Casacuberta
Chapter 1
Oscar Deniz, Javier Lorenzo, Mario Hernández, Modesto Castrillón
Social intelligence seems to obviously require emotions. People have emotions, recognize them in others and also express them. A wealth of... Sample PDF
Emotional Modeling in an Interactive Robotic Head
Chapter 2
Cyril Laurier, Perfecto Herrera
Creating emotionally sensitive machines will significantly enhance the interaction between humans and machines. In this chapter we focus on enabling... Sample PDF
Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines
Chapter 3
Christoph Bartneck, Michael J. Lyons
The human face plays a central role in most forms of natural human interaction so we may expect that computational methods for analysis of facial... Sample PDF
Facial Expression Analysis, Modeling and Synthesis: Overcoming the Limitations of Artificial Intelligence with the Art of the Soluble
Chapter 4
Sajal Chandra Banik, Keigo Watanabe, Maki K. Habib, Kiyotaka Izumi
Multi-robot team work is necessary for complex tasks which cannot be performed by a single robot. To get the required performance and reliability... Sample PDF
Multirobot Team Work with Benevolent Characters: The Roles of Emotions
Chapter 5
Matthias Scheutz, Paul Schermerhorn
Effective decision-making under real-world conditions can be very difficult as purely rational methods of decision-making are often not feasible or... Sample PDF
Affective Goal and Task Selection for Social Robots
Chapter 6
Christopher P. Lee-Johnson, Dale A. Carnegie
The hypothesis that artificial emotion-like mechanisms can improve the adaptive performance of robots and intelligent systems has gained... Sample PDF
Robotic Emotions: Navigation with Feeling
Chapter 7
C. Gros
All self-active living beings need to solve the motivational problem—the question of what to do at any moment of their life. For humans and... Sample PDF
Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems
Chapter 8
Bruce J. MacLennan
This chapter addresses the “Hard Problem” of consciousness in the context of robot emotions. The Hard Problem, as defined by Chalmers, refers to the... Sample PDF
Robots React, but Can They Feel?
Chapter 9
Mercedes García-Ordaz, Rocío Carrasco-Carrasco, Francisco José Martínez-López
It is contended here that the emotional elements and features of human reasoning should be taken into account when designing the personality of... Sample PDF
Personality and Emotions in Robotics from the Gender Perspective
Chapter 10
Antoni Gomila, Alberto Amengual
In this chapter we raise some of the moral issues involved in the current development of robotic autonomous agents. Starting from the connection... Sample PDF
Moral Emotions for Autonomous Agents
Chapter 11
Pietro Cipresso, Jean-Marie Dembele, Marco Villamira
In this work, we present an analytical model of hyper-inflated economies and develop a computational model that permits us to consider expectations... Sample PDF
An Emotional Perspective for Agent-Based Computational Economics
Chapter 12
Michel Aubé
The Commitment Theory of Emotions is issued from a careful scrutiny of emotional behavior in humans and animals, as reported in the literature on... Sample PDF
Unfolding Commitments Management: A Systemic View of Emotions
Chapter 13
Sigerist J. Rodríguez, Pilar Herrero, Olinto J. Rodríguez
Today, realism and coherence are highly searched qualities in agent’s behavior; but these qualities cannot be achieved completely without... Sample PDF
A Cognitive Appraisal Based Approach for Emotional Representation
Chapter 14
Clément Raïevsky, François Michaud
Emotion plays several important roles in the cognition of human beings and other life forms, and is therefore a legitimate inspiration for providing... Sample PDF
Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents
Chapter 15
Artificial Surprise  (pages 267-291)
Luis Macedo, Amilcar Cardoso, Rainer Reisenzein, Emiliano Lorini
This chapter reviews research on computational models of surprise. Part 1 begins with a description of the phenomenon of surprise in humans, reviews... Sample PDF
Artificial Surprise
Chapter 16
Tom Adi
A new theory of emotions is derived from the semantics of the language of emotions. The sound structures of 36 Old Arabic word roots that express... Sample PDF
A Theory of Emotions Based on Natural Language Semantics
Chapter 17
Huma Shah, Kevin Warwick
The Turing Test, originally configured as a game for a human to distinguish between an unseen and unheard man and woman, through a text-based... Sample PDF
Emotion in the Turing Test: A Downward Trend for Machines in Recent Loebner Prizes
Chapter 18
Félix Francisco Ramos Corchado, Héctor Rafael Orozco Aguirre, Luis Alfonso Razo Ruvalcaba
Emotions play an essential role in the cognitive processes of an avatar and are a crucial element for modeling its perception, learning, decision... Sample PDF
Artificial Emotional Intelligence in Virtual Creatures
Chapter 19
Sarantos I. Psycharis
In our study we collected data with respect to cognitive variables (learning outcome), metacognitive indicators (knowledge about cognition and... Sample PDF
Physics and Cognitive-Emotional-Metacognitive Variables: Learning Performance in the Environment of CTAT
Chapter 20
Anthony G. Francis Jr., Manish Mehta, Ashwin Ram
Believable agents designed for long-term interaction with human users need to adapt to them in a way which appears emotionally plausible while... Sample PDF
Emotional Memory and Adaptive Personalities
Chapter 21
Dorel Gorga, Daniel K. Schneider
The purpose of this contribution is to discuss conceptual issues and challenges related to the integration of emotional agents in the design of... Sample PDF
Computer-Based Learning Environments with Emotional Agents
Chapter 22
Emotional Ambient Media  (pages 443-459)
Artur Lugmayr, Tillmann Dorsch, Pabo Roman Humanes
The “medium is the message”: nowadays the medium as such is non-distinguishable from its presentation environment. However, what is the medium in an... Sample PDF
Emotional Ambient Media
Chapter 23
Jordi Vallverdú, David Casacuberta
During the previous stage of our research we developed a computer simulation (called ‘The Panic Room’ or, more simply, ‘TPR’) dealing with synthetic... Sample PDF
Modelling Hardwired Synthetic Emotions: TPR 2.0
Chapter 24
Cecile K.M. Crutzen, Hans-Werner Hein
A vision of future daily life is explored in Ambient Intelligence (AmI). It follows the assumption that information technology should disappear into... Sample PDF
Invisibility and Visibility: The Shadows of Artificial Intelligence
About the Contributors