Download Ambient Intelligence: 4th International Joint Conference, by Serge Autexier, Dieter Hutter, Christoph Stahl (auth.), Juan PDF

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 e-book constitutes the refereed court cases of the 4th foreign Joint convention an Ambient Intelligence, AmI 2013, held in Dublin, eire, in December 2013. The 15 revised complete papers, four papers from the panorama music, three papers from the doctoral colloquium and six demo and poster papers have been rigorously reviewed and chosen from a number of submissions and are provided with 6 workshop descriptions. The papers conceal various multi-disciplinary issues in desktop technology, human computing device interplay, electric engineering, business layout, behavioral sciences, dispensed units, ubiquitous and verbal exchange applied sciences, pervasive computing, clever person interfaces and synthetic intelligence.

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Additional info for Ambient Intelligence: 4th International Joint Conference, AmI 2013, Dublin, Ireland, December 3-5, 2013. Proceedings

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Based on current and past activities, and a formalisation of actions and intentions, the intention recognition infers likely user goals. 2. Strategy synthesis. Supporting strategies are synthesised wrt. to the current state of the world, available actions and potential goals. 3. Explanation generation. The user actions, the goals and the synthesised strategy are integrated into an explanation that helps to explain the overall system. We use the setting from above as a running example to illustrate all concepts.

To the current state of the world, available actions and potential goals. 3. Explanation generation. The user actions, the goals and the synthesised strategy are integrated into an explanation that helps to explain the overall system. We use the setting from above as a running example to illustrate all concepts. 1 Formalising Actions and Intentions As customary within the automatic planning domain [12], all actions are described using preconditions and effects. Before diving into the formalisation, we discuss a simple example (all examples show actually used Prolog code of the system): Example 1 (Action turnOn(P)).

If for every situations S ∈ {Sn−l , . . , Sn } there exists an action sequence aS = [a1 , . . , ai ] leading to a state satisfying I, such that the corresponding sub-sequence of user actions [a1 , . . , item(A,au ), E=hint-sufficient-actions(A, S, I)] The parameter l controls how many unnecessary actions have to be executed before the system generates a hint. The resulting DRS is translated into “To achieve ‘I’ it is sufficient to perform the following actions: [a1 , . . ” 5 Preliminary Evaluation The system described above has been realised in a first prototype.

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