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Can I read Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems (Lecture Notes in Computer Science) on EtoBox?

Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems (Lecture Notes in Computer Science) by Judith E. Devaney, S. G. Satterfield, J. G. Hagedorn, J. T. Kelso, A. P. Peskin (auth.), Yang Cai (eds.) is a nonfiction available to read on EtoBox.

What is Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems (Lecture Notes in Computer Science) about?

Many difficult scientific discovery tasks can only be solved in interactive ways, by combining intelligent computing techniques with intuitive and adaptive user interfaces. It is inevitable to use human intelligence in scientific discovery systems: human eyes can capture complex patterns and relationships, along with detecting the exceptional cases in a data set; the human brain can easily manipulate perceptions to make decisions. Ambient intelligence is about this kind of ubiquitous and autonomous human interaction with information. Scientific discovery is a process of creative perception and communication, dealing with questions like: how do we significantly reduce information while maintaining meaning, or how do we extract patterns from massive data and growing data resources. Originating from the SIGCHI Workshop on Ambient Intelligence for Scientific Discovery, this state-of-the-art survey is organized in three parts: new paradigms in scientific discovery, ambient cognition, and ambient intelligence systems. Many chapters share common features such as interaction, vision, language, and biomedicine.

Who reads Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems (Lecture Notes in Computer Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Judith E. Devaney, S. G. Satterfield, J. G. Hagedorn, J. T. Kelso, A. P. Peskin (auth.), Yang Cai (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2005
Language
EN
ISBN
9783540322634
Category
nonfiction
Subjects
Engineering, Mathematics, Science

Other editions & translations

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