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Emotion Dynamics for Artificially Intelligent Agents

Khalil Ahmed

ISBN 10: 3639257995 / ISBN 13: 9783639257991
Published by VDM Verlag
New Condition New Paperback
From BuySomeBooks (Las Vegas, NV, U.S.A.) Quantity Available: 20
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Paperback. 84 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.In artificial intelligence it is important to identify the significance of human emotions as a structuring component, their temporal and interactive dynamics for rational decision making and to conduct intelligent interaction with the potential of reasoning. This book provides a systematic approach to design and analyze emotional process and cognitive emotion modeling. The preliminary chapters addresses the logic of grounding emotions in agents for the cross disciplinary audience. The relevance of artificial neural networks for emotion modeling has also been argued regarding its ability for adaptive learning that provides the foundation for the problem identified and leads to the hypotheses devised. A model has been proposed which incorporates hierarchical Self-Organizing-Map technique to address the cooperative and competitive mode of interaction in multi-facet emotion space. This book will be useful for researchers, academicians and psychologists, to explore the underlying neural phenomenon of emotion dynamics and to model these with the help of Artificial Neural Network techniques for agents. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639257991

About this title:

Synopsis:

In artificial intelligence it is important to identify the significance of human emotions as a structuring component, their temporal and interactive dynamics for rational decision making and to conduct intelligent interaction with the potential of reasoning. This book provides a systematic approach to design and analyze emotional process and cognitive emotion modeling. The preliminary chapters addresses the logic of grounding emotions in agents for the cross disciplinary audience. The relevance of artificial neural networks for emotion modeling has also been argued regarding its ability for adaptive learning that provides the foundation for the problem identified and leads to the hypotheses devised. A model has been proposed which incorporates hierarchical Self-Organizing-Map technique to address the cooperative and competitive mode of interaction in multi-facet emotion space. This book will be useful for researchers, academicians and psychologists, to explore the underlying neural phenomenon of emotion dynamics and to model these with the help of Artificial Neural Network techniques for agents.

About the Author: Atifa Athar is working as a faculty member at the school of computer science, NCBA&E Lahore, Pakistan. Her area of research is emotions in machines, A.I. and quantum computing. Khalil Ahmed is an expert academician and passionately engaged in research. His area of research is machine consciousness, A.I. and knowledge management.

Atifa Athar is working as a faculty member at the school of computer science, NCBA&E Lahore, Pakistan. Her area of research is emotions in machines, A.I. and quantum computing. Khalil Ahmed is an expert academician and passionately engaged in research. His area of research is machine consciousness, A.I. and knowledge management.

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Bibliographic Details

Title: Emotion Dynamics for Artificially ...

Publisher: VDM Verlag

Binding: Paperback

Book Condition: New

Book Type: Paperback

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