Modelling Machine Emotions for Realizing Intelligence: Foundations and Applications

Front Cover
Toyoaki Nishida, Colette Faucher
Springer Science & Business Media, Jun 21, 2010 - Mathematics - 228 pages
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Modeling Machine Emotions for Realizing Intelligence An Introduction
1
An ActivationHabituation Model of Affective Assimilation and Contrast
16
Judgement as to Whether or Not People Are Involved Enjoying and Excited Based on the Visual and Physiological Information
35
Modelling Interaction Dynamics during FacetoFace Interactions
53
Emotional Model Based on Computational Intelligence for Partner Robots
89
Facial Expression Synthesis Based on Emotion Dimensions for Affective Talking Avatar
109
Attentive Conversational Agent with Internal State Transition for Multiple Users
133
Integrating the Emotional Intelligence into the Virtual Technical Support Engineer
156
An Approach Based on the Compositionality Principle
179
Interacting with Emotion and Memory Enabled Virtual Characters and Social Robots
209
Author Index
225
Copyright

Other editions - View all

Common terms and phrases

About the author (2010)

Dr. Rajiv Khosla has a multi-disciplinary background in engineering, management and computer science. He holds a Bachelors degree in Electrical Engineering, a Masters degree in Management and Systems from the Indian Institute of Technology (IIT), New Delhi, and a Masters and Ph.D. in Computer Science from La Trobe. Dr. Khosla is an Associate Professor in the Accounting and Management department at La Trobe University. He is the associate editor of the International Journal of Pattern Recognition and review board member of the International Journal of Applied Intelligence. His research and teaching experience has been driven by active collaboration with industry. He has been a project leader of over a dozen industrial projects. Dr. Khosla has authored several research monographs in the area of intelligent agents and human-centred systems. He has published several books with Springer, the most recent being Knowledge-Based Intelligent Information and Engineering Systems (Khosla, Howlett & Jain (Eds.), 2005, 3-540-28894-5).

Dr. Nadia Bianchi-Berthouze gained her MSc in Computer Science and Ph.D. in Computer Science from the University of The Studies of Milan, Italy in 1991 and 1995 respectively. In February 2006, she will move from the University of Aizu, Japan (where she was an Assistant Professor working in visual information systems) to the University College London Interaction Center (UCLIC), UK.

Dr. Toyoaki Nishida is a Professor in the Department of Intelligence Science and Technology, Graduate School of Technology at Kyoto University. He received his B.E., the M.E., and Doctor of Engineering degrees from Kyoto University in 1977, 1979, and 1984 respectively. He haspublished one monograph previously: Dynamic Knowledge Interaction, CRC Press 2000 and two lecture notes volumes in Springer??'s Lecture Notes in Artificial Intelligence series: Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence 743, Springer-Verlag, 1993 and Takao Terano, Toyoaki Nishida, Akira Namatame, Yukio Ohsawa, Shusaku Tsumoto, and Takashi Washio (eds): Exploring New Frontiers on Artificial Intelligence - Selected Papers from the First International Workshops of Japanese Society of Artificial Intelligence -, Lecture Notes on Artificial Intelligence LNAI2253, Springer Verlag, December 2001.

Bibliographic information