MarÃa JosÃ© Santofimia Romero - Grupo ARCO - Universidad de ...

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DEPARTAMENTO DE TECNOLOGÍAS Y SISTEMAS DE LA INFORMACIÓNESCUELA SUPERIOR DE INFORMÁTICAUNIVERSIDAD DE CASTILLA-LA MANCHATESIS DOCTORALAUTOMATIC SERVICE COMPOSITION BASED ON COMMON-SENSEREASONING FOR AMBIENT INTELLIGENCEAutor:María José Santofimia RomeroIngeniero InformáticoDirectores:Francisco Moya FernándezDr. Ingeniero de TelecomunicaciónUniversidad de Castilla-La ManchaJuan Carlos López LópezDr. Ingeniero de TelecomunicaciónCatedrático de UniversidadUniversidad de Castilla-La ManchaCiudad Real, 2012
Page 1: DEPARTAMENTO DE TECNOLOGÍAS Y SIST
Page 5: A mi familia
Page 9: AbstractThe Ambient Intelligence pa
Page 12 and 13: VICONTENTS3.3.6 Mental States . . .
Page 15: List of Tables2.1 Ambient Intellige
Page 19: AgradecimientosHa sido mucha la gen
Page 23 and 24: Chapter 1IntroductionCommon sense i
Page 25 and 26: challenging requirements that have
Page 27 and 28: suffice to tackle the endeavor of e
Page 29 and 30: a person would do. Therefore, for t
Page 31 and 32: called common-sense knowledge. Addi
Page 33 and 34: Chapter 2State of the Art in Ambien
Page 35 and 36: lyzed from the point of view of the
Page 37 and 38: tions. The non-determinism implicit
Page 39 and 40: modeled as OWL-S semantic Web servi
Page 41 and 42: SPARQL queries. The scalability pro
Page 43 and 44: 2.3 Middlewares for Ambient Intelli
Page 45 and 46: ciated inconveniences.The MEDUSA Pr
Page 47 and 48: concepts. Concept meanings cannot b
Page 49 and 50: adaptive middlewares they should be
Page 51: MiddlewarePlatformInformation Defin
Page 55 and 56:
Chapter 3Common SenseHumans rarely
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people [152] or by making use of th
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etween these two contexts, such as
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Basic event calculusThe event calcu
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issue, namely, default or non-monot
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continuous or delayed effects.3.3.4
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Some other mental qualities, such a
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available actions, which of them se
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• Non-deterministic effects of ev
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Chapter 4Modeling and Reasoning Abo
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none to the pragmatic dimension.The
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The context syntax is intended to s
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y the latter in [95]: “In 1959, J
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Definition 5. An Object is the set
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Θ = {p 1 , p 2 , p 3 , p 4 , p 5 ,
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Figure 4.3: Extract of the taxonomy
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query the knowledge base about whic
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According to the model proposed for
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The proposed approach for context u
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In accordance with the aforemention
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newspaper } )CL-USER > ( the-x-of-y
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The above code is particularly devo
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( in-context { general } )( new-eve
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do ( progn( mark-context-contents(
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( ( in-context ( new-context { turn
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Whereas these events comprise the d
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Provided that both events can be a
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Figure 5.2: Process diagram that ou
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Part IIIActing95
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Figure 6.1: Acting process stagesth
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6.2.1 Planning requirementsOne of t
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the end is what differentiates huma
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undesirable elements, and what exte
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planning under uncertainty, non-det
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Recall that the state space is neit
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Chapter 7Behavioral Response Implem
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e customized in order to select the
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• External automatic service adap
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unsatisfied need that requires from
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person identity. The plan proposer
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Roughly, the Plan Project algorithm
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service. On the contrary, action fe
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Chapter 8Validation Results“A thi
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Figure 8.1: An evaluation processst
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Table 8.1: Simulation resultsCase M
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are provided to the knowledge-base
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Scenario 7kitchen-presence-sensor (
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• Scenario 2. This scenario is de
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8.4 Test ResultsThe test described
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Table 8.5: Interpretation resultsSc
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Table 8.6: Test resultsScenario Ans
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therefore one of the main mechanism
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Chapter 9Conclusions and future wor
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overcome this limitation by decoupl
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a certain knowledge domain involved
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Part VReferences153
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[11] Claudio Bettini, Oliver Brdicz
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[41] Scott E. Fahlman. Marker-Passi
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[68] Leslie Pack Kaelbling, Michael
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[97] Marvin Minsky. The emotion mac
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Applications in Archaeology 1997, B
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[149] Daniel Wigdor, Yuri Ivanov, a
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Appendix APrototype Implementation
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A.2 MiddlewareThe majority of the A
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presence in the middleware layer re
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explanation for this is based on by
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Figure A.5: State diagram for the M
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Figure A.6: Logic schemata for remo
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: throughout( ( the-x-of-y-is-a-z {
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equired input, the detectingFace ac
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Making the most of service versatil
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Figure A.9: System architecture ove
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