By Kathy Panton, Cynthia Matuszek, Douglas Lenat, Dave Schneider, Michael Witbrock (auth.), Yang Cai, Julio Abascal (eds.)
Ambient Intelligence refers to clever digital environments which are delicate and attentive to the presence of individuals. because its creation within the past due Nineteen Nineties, this imaginative and prescient has matured, having turn into particularly influential within the improvement of recent suggestions for info processing in addition to combining multi-disciplinary fields together with desktop technology, electric engineering, business layout, architectural layout, consumer interfaces, and cognitive technological know-how.
Originating from the Workshop on Ambient Intelligence in lifestyle held on the Miramar Congress heart, San Sebastian, Spain, in July 2005, this e-book is dedicated to the cognitive elements of ambient intelligence. The 15 rigorously reviewed and revised articles offered are prepared in topical sections on human-centric computing, ambient interfaces, and architectures for ambient intelligence.
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Additional resources for Ambient Intelligence in Everyday Life: Foreword by Emile Aarts
Fact gathering currently targets ground-level assertions, either at the instance level or the type level, while rule production has focused on generating rules from large sets of ground facts via induction. Instance-Level Fact: (isa Lenat ArtificialIntelligenceResearcher) Type-Level Fact: (genls ArtificialIntelligenceResearcher ComputerScientist) An AI researcher is a kind of computer scientist. Rule: (implies (and 20 K. Panton et al. PER ArtificialIntelligenceResearcher)) By default, presenters at AI conferences are AI researchers.
Moreover, it seems that using both geometric and appearance features might be the best choice in the case of certain facial expressions . Face for Ambient Interface 41 Fig. 3. Examples of 2D and 3D face models. First row: Results of Tao-Huang 3D-wireframe face-model fitting algorithm for happy, occluded and angry face image frames . Second row: Results of the CMU 2D-AAM fitting algorithm for happy and occluded face image frames and results of fitting the CMU 2D+3D AAM [5,85].
FOIL: A midterm report. Proceedings of the European Conference on Machine Learning, 667: 3-20. , 2005. Gathering and managing facts for intelligence analysis. Proceedings of the 2005 Conference on Intelligence Analysis: Methods and Tools, McLean, VA. , 1976. Computer-based Medical Consultations: MYCIN. New York: American Elsevier. , Witbrock. , 2005. Hypothesis generation and evidence assembly for intelligence analysis: Cycorp’s Noöscape application. Proceedings of the 2005 Conference on Intelligence Analysis: Methods and Tools, McLean, VA.