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List of Tables2.1 Ambient Intelligence middleware features for service composition . . . . . . . . . . 333.1 Predicates and functions of the original event calculus . . . . . . . . . . . . . . . . . 438.1 Simulation results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1318.2 Simulation Configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1348.3 Personal information of respon<strong>de</strong>nts to the first questionnaire . . . . . . . . . . . . . 1408.4 Personal information of respon<strong>de</strong>nts to the second questionnaire . . . . . . . . . . . 1408.5 Interpretation results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1418.6 Test results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143IX
Page 1: DEPARTAMENTO DE TECNOLOGÍAS Y SIST
Page 4 and 5: María José Santofimia RomeroTelé
Page 7: ResumenLa Inteligencia Ambiental, p
Page 11 and 12: ContentsContentsList of TablesList
Page 13: CONTENTSVII7.4.4 The Plan Executor
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
Page 57 and 58: people [152] or by making use of th
Page 59 and 60: etween these two contexts, such as
Page 61 and 62: Basic event calculusThe event calcu
Page 63 and 64: issue, namely, default or non-monot
Page 65 and 66:
continuous or delayed effects.3.3.4
Page 67 and 68:
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
Page 180 and 181:
[97] Marvin Minsky. The emotion mac
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Applications in Archaeology 1997, B
Page 184 and 185:
[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
Page 203 and 204:
Making the most of service versatil
Page 205:
Figure A.9: System architecture ove
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