Modelling Machine Emotions for Realizing Intelligence: Foundations and Applications by Toyoaki NishidaModelling Machine Emotions for Realizing Intelligence: Foundations and Applications by Toyoaki Nishida

Modelling Machine Emotions for Realizing Intelligence: Foundations and Applications

byToyoaki NishidaEditorColette Faucher

Paperback | June 28, 2012

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Emotion connects the thought to the body, which is a magnificent biological - vice for sensing and affecting the world. The thought controls the body through emotions. The body affects the thought through emotions. Through this mec- nism, the thought allows the agent to behave intelligently in the complex world filled with a huge amount of dynamic information. The emotion maps a flux of information into a space which the agent is familiar with, enabling her/him to associate ongoing events with past experiences which help to reduce complexity by providing with a nominal solution. Recent findings in brain science suggest that mirror neurons map visual signals into motor signals for the body. This mechanism might permit one to experience the emotion of the other agent just by feeling the motor signals caused by mirror neurons as a result of visual stimuli caused by the other agent's emotional beh- iors. In particular, it might play a significant role in invoking empathy in a social situation. It may not be hard to think about what might happen to emotion-less machines. The emotion-less machines may not be able to accumulate experiences to avoid serious failures. They may not be able to communicate with the humans in an empathetic way.
Title:Modelling Machine Emotions for Realizing Intelligence: Foundations and ApplicationsFormat:PaperbackDimensions:228 pagesPublished:June 28, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642263267

ISBN - 13:9783642263262

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Table of Contents

Modeling Machine Emotions for Realizing Intelligence - An Introduction -.- Automatic Affective Dynamics: An Activation-Habituation Model of Affective Assimilation and Contrast.- Judgement as to Whether or Not People Are "Involved, Enjoying and Excited," Based on the Visual and Physiological Information.- Modelling Interaction Dynamics during Face-to-Face Interactions.- Emotional Model Based on Computational Intelligence for Partner Robots.- Facial Expression Synthesis Based on Emotion Dimensions for Affective Talking Avatar.- Attentive Conversational Agent with Internal State Transition for Multiple Users.- Integrating the Emotional Intelligence into the Virtual Technical Support Engineer.- Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle.- Interacting with Emotion and Memory Enabled Virtual Characters and Social Robots.