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Ambient intelligence for scientific discovery : foundations, theories, and systems / Yang Cai (ed.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 3345. | Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science. State-of-the-art survey.Publication details: Berlin ; New York : Springer, ©2005.Description: 1 online resource (xiv, 310 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540322634
  • 3540322639
  • 3540244662
  • 9783540244660
Subject(s): Genre/Form: Additional physical formats: Print version:: Ambient intelligence for scientific discovery.DDC classification:
  • 004 22
LOC classification:
  • QA76.5915 .S56 2004eb
Other classification:
  • SS 4800
  • DAT 703f
  • DAT 758f
  • DAT 610f
Online resources:
Contents:
New Paradigms in Scientific Discovery -- Science at the Speed of Thought -- Computational Biology and Language -- Interactive Comprehensible Data Mining -- Scientific Discovery Within Data Streams -- Ambient Cognition -- Shape as Memory Storage -- Spatial Cues in 3D Visualization -- Textual Genre Analysis and Identification -- Cognitive Artifacts in Complex Work -- Ambient Intelligence Systems -- Multi-modal Interaction in Biomedicine -- Continuous Body Monitoring -- Ambient Diagnostics -- Wireless Local Area Network Positioning -- Behavior-Based Indoor Navigation -- Ambient Intelligence Through Agile Agents.
In: OhioLINK electronic book center In: SpringerLinkSummary: 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.
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Includes bibliographical references and index.

Print version record.

New Paradigms in Scientific Discovery -- Science at the Speed of Thought -- Computational Biology and Language -- Interactive Comprehensible Data Mining -- Scientific Discovery Within Data Streams -- Ambient Cognition -- Shape as Memory Storage -- Spatial Cues in 3D Visualization -- Textual Genre Analysis and Identification -- Cognitive Artifacts in Complex Work -- Ambient Intelligence Systems -- Multi-modal Interaction in Biomedicine -- Continuous Body Monitoring -- Ambient Diagnostics -- Wireless Local Area Network Positioning -- Behavior-Based Indoor Navigation -- Ambient Intelligence Through Agile Agents.

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.

English.

Available to OhioLINK libraries.

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