Interactive Collaborative Information Systems
Editors: Babuška, Robert, Groen, Frans C.A. (Eds.)
Free Preview- Recent Results in Interactive Collaborative Information Systems
- Emphasizes the importance of close collaborations between human and artificial actors that highlight their complementary capabilities
- Focuses on innovative agent technology, advanced machine learning, and cognition-based interface technology
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- About this book
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The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.
- Table of contents (20 chapters)
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Approximate Dynamic Programming and Reinforcement Learning
Pages 3-44
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Learning with Whom to Communicate Using Relational Reinforcement Learning
Pages 45-63
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Switching between Representations in Reinforcement Learning
Pages 65-84
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A Decision-Theoretic Approach to Collaboration: Principal Description Methods and Efficient Heuristic Approximations
Pages 87-124
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Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty
Pages 125-153
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Table of contents (20 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Interactive Collaborative Information Systems
- Editors
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- Robert Babuška
- Frans C.A. Groen
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 281
- Copyright
- 2010
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-11688-9
- DOI
- 10.1007/978-3-642-11688-9
- Hardcover ISBN
- 978-3-642-11687-2
- Softcover ISBN
- 978-3-642-26320-0
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XXVI, 586
- Number of Illustrations
- 204 b/w illustrations
- Topics