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An infrastructure approach to support context-aware pervasive computing is advantageous for rapid prototyping of context-aware distributed applications and beneficial for unifying modelling of context and reasoning in uncertain conditions.
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Besides feature models for DSLPs, this approach uses additional models for representing system context, architecture and reasoning (i.e., configuration selection), while we instead appeal to a unified model for representing context, architecture and reasoning.
Situational computing can be viewed as the pervasive computing paradigm that deals with situational context representation and reasoning.
In addition, there are several thorough surveys of context modeling and reasoning in pervasive computing (e.g. [19, 39 43]).
This falls under what is referred to as hybrid context modeling and reasoning approaches, which involve both knowledge representation formalisms and reasoning mechanisms.
Bettini et al. [ 34] show a set of requirements that context modeling and reasoning techniques should meet based on database modeling techniques and on ontology-based frameworks for knowledge representation.
Siri required not just speech recognition, but also understanding of natural language, context, and ultimately, reasoning (itself the domain of most artificial intelligence research today).
Once defined and explained to them most consumers approve of the concept, especially in the realm of health behavior, given particular conditions: 1. Nudges should be designed for benefiting individuals and society; 2. consumers comprehend the decision-making context and the reasoning behind the promotion of the targeted behavior.
Investigating approaches to context modeling (representation and reasoning techniques) constitutes a large part of a growing body of research on the use of context awareness as a technique for developing context-aware applications and systems that can adapt to and act autonomously on behalf of citizens and urban systems.
Across the variety of contexts for tracking and reasoning based on contrasting different explanations, there is evidence that Coras used interventions and trickery to contrastively assess the epistemic value of the numerous testimonies (e.g., Davis 1983: pp. 77 78).
It is expected that the children will use the functions of: self-maintaining, directing, reporting on past and present context and towards logical reasoning.
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