By Serge Autexier, Dieter Hutter, Christoph Stahl (auth.), Juan Carlos Augusto, Reiner Wichert, Rem Collier, David Keyson, Albert Ali Salah, Ah-Hwee Tan (eds.)
This booklet constitutes the refereed court cases of the 4th overseas Joint convention an Ambient Intelligence, AmI 2013, held in Dublin, eire, in December 2013. The 15 revised complete papers, four papers from the panorama tune, three papers from the doctoral colloquium and six demo and poster papers have been rigorously reviewed and chosen from quite a few submissions and are awarded with 6 workshop descriptions. The papers conceal quite a few multi-disciplinary issues in desktop technology, human desktop interplay, electric engineering, business layout, behavioral sciences, dispensed units, ubiquitous and communique applied sciences, pervasive computing, clever person interfaces and synthetic intelligence.
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Extra resources for Ambient Intelligence: 4th International Joint Conference, AmI 2013, Dublin, Ireland, December 3-5, 2013. Proceedings
5 and some conclusions are drawn thereafter. 2 Basic Notions and Related Work Because our system utilises ideas from different areas, we introduce some related work and the necessary notions first. Recognising the current activities of a user is important to predict the underlying goals of his behaviour. Several approaches have been proposed in the literature and recent overviews can be found in  and . Most of the system rely on probabilistic models like Hidden Markov Models, Dynamic Bayesian networks, particle filters, or Kalman filters.
Based on this information, pairs of why-questions and answers are generated as follows: Definition 8 (Why-question 1). Let S be a situation, in which some automatic assistance is triggered. Let I be the assumed and supported intention and let [a1 , . . , an ] be the supporting sequence of actions executed automatically. Let furthermore S be the resulting situation after executing the plan. ” and “‘s’ holds because the system assumed you are planning to ‘I’ which has been supported by executing the following sequence of actions: [a1 , .
In addition, we explicitly distinguish between definition and condition statements. All constructs of the form Id=... are called definitions. This syntactical distinction simplifies the conceptual construction of explanations and the construction of the SimpleNLG statements. As described below, the explanation generation components output fairly high-level descriptions of explanations. , the following high-level description specifies a why-question: [Q]:[P=isOn(projector), holds(P,S), S=state, Q=why-holds(P,S)] That is, the question is defined as a DRS with four statements in it and only one referent (Q).