Produktnummer:
18f3900b32b1f54565bf0bc37f3ad0034d
Themengebiete: | Bayesian methods Eye-Tracking HCI approximation classifier systems cognition collective intelligence data mining decision making enterprise information system |
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Veröffentlichungsdatum: | 05.10.2009 |
EAN: | 9783642049538 |
Sprache: | Englisch |
Seitenzahl: | 237 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Chen, Lin Li, Kuncheng Lu, Shengfu Zhong, Ning |
Verlag: | Springer Berlin |
Untertitel: | International Conference, BI 2009, Beijing, China, October 22-24, Proceedings |
Produktinformationen "Brain Informatics"
This volume contains the papers selected for presentation at The 2009 Inter- tional Conference on Brain Informatics (BI 2009) held at Beijing University of Technology, China, on October 22–24, 2009. It was organized by the Web Int- ligence Consortium (WIC) and IEEE Computational Intelligence Society Task Force on Brain Informatics (IEEE TF-BI). The conference was held jointly with The 2009 International Conference on Active Media Technology (AMT 2009). Brain informatics (BI) has emergedas an interdisciplinaryresearch?eld that focuses on studying the mechanisms underlying the human information proce- ing system (HIPS). It investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multi-perception, attention,memory,language,computation,heuristicsearch,reasoning,planning, decision-making, problem-solving, learning, discovery, and creativity. The goal of BI is to develop and demonstrate a systematic approach to achieving an integrated understanding of both macroscopic and microscopic level working principles of the brain, by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web Intelligence (WI) centric information technologies. BI represents a potentially revolutionary shift in the way that research is undertaken. It attempts to capture new forms of c- laborative and interdisciplinary work. Following this vision, new kinds of BI methods and global research communities will emerge, through infrastructure on the wisdom Web and knowledge grids that enables high speed and d- tributed, large-scale analysis and computations, and radically new ways of sh- ing data/knowledge.

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