- Page 1: DEPARTAMENTO DE TECNOLOGÍAS Y SIST
- Page 7: ResumenLa Inteligencia Ambiental, p
- Page 11 and 12: ContentsContentsList of TablesList
- Page 13: CONTENTSVII7.4.4 The Plan Executor
- Page 17: List of Figures4.1 Kripke model for
- Page 21: Part IPreliminaries3
- Page 24 and 25: This gap poses an urgent need to de
- Page 26 and 27: and events, and the mechanisms to r
- Page 28 and 29: Maria’s ankle as an impediment to
- Page 30 and 31: 1.3 Aims and objectivesGiven that t
- Page 32 and 33: The fourth item concerns the way th
- Page 34 and 35: of such goals and desires and how t
- Page 36 and 37: tion, is addressed by coping with a
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- Page 40 and 41: The MERL’s Ambient Intelligence f
- Page 42 and 43: tions come into play. These scenari
- Page 44 and 45: interact with electronic devices, e
- Page 46 and 47: tionally, the middleware architectu
- Page 48 and 49: The idea behind the work proposed h
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- Page 53: Part IIUnderstanding35
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obvious. In this sense, sociologist
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true throughout a time interval, or
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application domain is (true, false)
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(SubAsbstrac Nathan Nathan2007)(Sub
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Moreover, events not only cannot be
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epresented by means of the notion o
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Context-awareness is one of the mai
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In any case, the adopted behavioral
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when the water level starts increas
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Traditionally, these responses have
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true.Additionally, the meaning of t
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(6) Statement → Service-ID perfor
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the set of possible contexts, and M
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in which S is a nonempty set of sta
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are considered possible given the p
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cope with the demands involved in d
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Chapter 5Understanding Context Situ
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Figure 5.1: Overall view of the pro
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adjusting existing knowledge to sim
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of some events involves the stateme
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( new-statement { picker } {is loca
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The way of determining which after
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CL-USER > ( the-x-of-y-is-z { enter
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CL-USER > ( the-only-x-of-y-is-z {
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CL-USER > ( get-element-fluent ( lo
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The specificity of the propositiona
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Following the same dynamic, the dif
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part is intended to propose a solut
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Chapter 6Behavioral Response Genera
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and action selection by means of a
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wants the room to be at a higher te
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state of the world with those plann
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conflict. The later strategy requir
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Function f returns the actions, fro
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next step selected in the plan. The
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of it. It is also possible to try t
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Agent System (MAS), individual agen
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the requirements stated for the BRG
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The action planning algorithmMaking
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The advantages underlying service c
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effects. On the contrary, an approp
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Part IVValidation and discussions12
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taking place. The interpretation of
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The key elements of the evaluation
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also been proved to serve as a mean
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Table 8.2: Simulation Configuration
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the knowledge-base, it saves time i
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effects and the sensed ones leads t
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Table 8.3: Personal information of
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Scenario Interpretations Number of
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understand the terms used to descri
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Finally, the causal explanation app
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2. A2: To provide a service composi
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System has to be motivated by goals
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een addressed by this thesis. Howev
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Bibliography[1] Gregory D. Abowd, A
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[25] Diane J. Cook, Juan C. Augusto
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[54] Tao Gu, Hung Keng Pung, and Da
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[83] Clemens Lombriser, Nagendra B.
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[110] Davy Preuveneers, Jan Van den
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[134] John F. Sowa. Conceptual Stru
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Part VIAppendix167
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Ambient Intelligence environment, i
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invocation. However, in reality the
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consists in querying the Topic Mana
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Figure A.4: Multi-Agent System over
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The result of the planning algorith
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concepts and relationships are impl
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As listed below, the recognition ac
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184Figure A.8: Sequence diagram for
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}query = " ( b−wire ( car ( list
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