Download Ambient Intelligence in Everyday Life: Foreword by Emile by Kathy Panton, Cynthia Matuszek, Douglas Lenat, Dave PDF

By Kathy Panton, Cynthia Matuszek, Douglas Lenat, Dave Schneider, Michael Witbrock (auth.), Yang Cai, Julio Abascal (eds.)

ISBN-10: 3540377859

ISBN-13: 9783540377856

Ambient Intelligence refers to shrewdpermanent digital environments which are delicate and aware of the presence of individuals. on account that its creation within the overdue Nineteen Nineties, this imaginative and prescient has matured, having develop into relatively influential within the improvement of latest recommendations for info processing in addition to combining multi-disciplinary fields together with computing device technology, electric engineering, business layout, architectural layout, consumer interfaces, and cognitive technology.

Originating from the Workshop on Ambient Intelligence in way of life held on the Miramar Congress middle, San Sebastian, Spain, in July 2005, this e-book is dedicated to the cognitive points of ambient intelligence. The 15 conscientiously reviewed and revised articles provided are geared up in topical sections on human-centric computing, ambient interfaces, and architectures for ambient intelligence.

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Such hypotheses need to be presented in a context that makes it clear why they should be of interest, and – in order to minimize the cognitive and time cost of tool use – it will be necessary to provide easy one-click tools that enable users to assess hypotheses based on existing documents, and then to confirm or deny the hypotheses. Several such tools have already been developed for a variety of uses within Cyc, ranging from simple sentence reviewers (and more complex rule reviewers) to predicate populators that allow an untrained user to select from a checklist of possible values for an argument position (Witbrock et al.

If every person that is known to be a mother is a female person, perhaps it can be concluded that all mothers are female). An example rule induced from data might be: [Pa ∧ Pb ∧ Qa ∧ Qb ∧ Rb ∧ Sa ∧ ¬(Sb)] →induced {∀x [Px ∧ Qx ∧ ¬(Rx) → Sx]} Typical inputs to induction (Srinivasan et al. 2003) [21,22] – a list of first-order facts constructed using a set of related predicates – can be readily produced by simple queries to Cyc’s inference engine over some set of predicates, meaning that running induction continuously oveor large sets of knowledge found in the Cyc KB is limited only by the speed of the induction process.

Next, the user views one of the answers (the more certain one), and then logs out. Cyc logs the fact that the user neglected to pursue one answer, and detects that the behavior logged differs from the learned case. Ultimately, it will be possible to detect the systematic biases of specific users. By building long logs of the ways behaviors diverge from the ideal in each case, it will be possible to help scientists recognize their own systematic shortcomings, and ultimately make up for those shortcomings.

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