Download Designing Smart Homes: The Role of Artificial Intelligence by Juan C. Augusto, Chris D. Nugent (auth.), Juan Carlos PDF

By Juan C. Augusto, Chris D. Nugent (auth.), Juan Carlos Augusto, Chris D. Nugent (eds.)

The sector of shrewdpermanent houses is quick constructing as an emergent quarter which pulls the synergy of numerous components of technology. This quantity bargains a set of contributions addressing how synthetic intelligence (AI), one of many center parts of machine technology, can deliver the starting to be region of shrewdpermanent houses to a better point of performance the place houses can actually observe the lengthy status dream of proactively supporting their population in an clever way.

After an introductory part to explain a sensible domestic state of affairs and to supply a few simple terminology, the subsequent nine sections flip distinctive cognizance to a selected exemplar software state of affairs (provision of healthcare and safeguard comparable prone to extend the standard of existence) exploring the appliance of particular components of AI to this scenario.

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Extra resources for Designing Smart Homes: The Role of Artificial Intelligence

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The idea is to identify the starting point of an arbitrary granule of the granularity G in the structure with the propositional symbol PG and the ending point of an arbitrary granule of G in the structure with the symbol QG . Let G = {G1 , G2 , . . , a calendar ) and let PG = {PGi , QGi |1 ≤ i ≤ n} be a set of propositional symbols associated with the calendar G. Given an alphabet of propositional symbols P ⊇ PG , the P-labeled (discrete) linear time structure has the form (N, <, V ), where (N, <) is the set of natural numbers with the usual ordering modeling the time domain, and V : N → 2P is a labeling function mapping the natural number set to sets of propositional symbols.

D. ): Designing Smart Homes, LNAI 4008, pp. 35–56, 2006. c Springer-Verlag Berlin Heidelberg 2006 36 C. Combi and R. Rossato Other relevant works on time granularities has been done in the context of classical and temporal logics [11, 31, 32, 33] and some of these works have been applied to the verification of real-time system specifications and to temporal reasoning in the artificial intelligence area. In this context, several problems of scheduling, planning, diagnosis, and natural language understanding often involve different time granularities [21, 24, 27, 29, 30, 39, 41].

Let M = (N, <, V ) be a P-labeled linear time structure and i ∈ N. The truth of a PPLTL-formula ψ in M with respect to the time point i, denoted as M, i |= ψ, is defined as follows: M, i |= M, i |= M, i |= M, i |= p φ∧ψ ¬φ φUψ iff iff iff iff M, i |= Xψ M, i |= φSψ iff iff M, i |= X−1 ψ iff p ∈ V (i) for p ∈ P; M, i |= φ and M, i |= ψ; it is not the case that M, i |= φ; M, j |= ψ for some j ≥ i and M, k |= φ for each k such that i ≤ k < j; M, i + 1 |= ψ; M, j |= ψ for some j ≤ i and M, k |= φ for each k such that j < k ≤ i; i > 0 and M, i − 1 |= ψ.

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