How Intelligent Are Ambient Intelligence Systems?

How Intelligent Are Ambient Intelligence Systems?

María J. Santofimia (University of Castilla-La Mancha, Spain), Francisco Moya (University of Castilla-La Mancha, Spain), Félix J. Villanueva (University of Castilla-La Mancha, Spain), David Villa (University of Castilla-La Mancha, Spain) and Juan C. López (University of Castilla-La Mancha, Spain)
Copyright: © 2010 |Pages: 7
DOI: 10.4018/jaci.2010010106

Abstract

Since the appearance of the Ambient Intelligence paradigm, as an evolution of the Ubiquitous Computing, a great deal of the research efforts in this ?eld have been mainly aimed at anticipating user actions and needs, out of a pre?xed set. However, Ambient Intelligence is not just constrained to user behaviour pattern matching, but to wisely supervise the whole environment, satisfying those unforeseen requirements or needs, by means of rational decisions. This work points at the lack of commonsense reasoning, as the main reason underlying the existance of these idiots savant systems, capable of accomplishing very speci?c and complex tasks, but incapable of making decisions out of the pre?xed behavioral patterns. This work advocates for the integration of the commonsense reasoning and understanding capabilities as the key elements in bridging the gap between idiot savant systems and real Ambient Intelligence systems.
Article Preview
Top

2. An Ontology For Ambient Intelligence

The previous section pointed out commonsense reasoning as a means to support systems capability to react to unexpected situations. However, before getting into the details about how these tasks are performed, we set the basis for the knowledge representation task, prior to tackling the reasoning one. This knowledge engineering task (Brachman et al., 2004) can be summarized so as to identify the relevant entities, their properties and their relationships one to each other, or in other words, providing an ontology for the application domain.

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 12: 4 Issues (2021): Forthcoming, Available for Pre-Order
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 2 Issues (2016)
Volume 6: 2 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing