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Home > Computing and Information Technology > Computer science > Artificial intelligence > Context-aware Emotion-based Multi-agent Systems: (Decision Engineering)
Context-aware Emotion-based Multi-agent Systems: (Decision Engineering)

Context-aware Emotion-based Multi-agent Systems: (Decision Engineering)


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About the Book

This is the first book to systematically cover the modelling of emotions and emotional states in human decision-making and to describe how human problem-solving may be integrated with intelligent technologies and intelligent agents. The result is an intelligent multi-agent architecture whose application is described in real-world applications of the internet in business. The authors' expertise covers research and real business and industry experience in computer science, management, HCI and computer vision and e-business, thus providing a well-balanced survey of an important multi-disciplinary topic.

Table of Contents:
1. Why Context-Aware Emotion-Based Systems 2. Concepts and Technologies 3. Emotion-based Methods 4. Optimizing Affective learning and Categorization 5. State of the Art 6. Converging Trends Towards Human-Centeredeness and Enabling Theories 7. Context --Aware Emotion-based System Development Framework 8. Context --aware Emotion based virtual machine 9. Context-Aware Emotion-based e-Sales Recruitment 10. Context Aware Internet Banking 11. Automatic Generation of Socioemotional Presentation 12. Future directions

About the Author :
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 has published 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.


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Product Details
  • ISBN-13: 9781846283703
  • Publisher: Springer London Ltd
  • Publisher Imprint: Springer London Ltd
  • Height: 235 mm
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 1846283701
  • Publisher Date: /11/2010
  • Binding: Hardback
  • Language: English
  • Series Title: Decision Engineering


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