Group Support in Collaborative Networks Organizations for Ambient Assisted Living

Advances in Intelligent and Soft Computing

et al. 2010

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The development of Intelligent Environments is a complex challenge. This complexity arises, in part, from the amount of different devices that need to be seamlessly integrated in a common and homogeneous environment, despite the fact of each device having its own characteristics. This heterogeneity of devices is particularly risky when one passes from the specification to the implementation phase, where all unexpected things start to happen. Multi-agent systems are the paradigm par excellence for implementing Intelligent Environments. However, traditionally, agents are only used at the implementation phase. In this paper we propose a new 3 step approach in which agents are used during all the development process, playing undoubtedly a much more preponderant role and making the path from the specification to the implementation a much easier and controllable one, always having in mind the challenges of the development of Intelligent Environments.

Section: Our Experience: the Virtualecare Projectmentioning

confidence: 99%

Enhancing the Role of Multi-agent Systems in the Development of Intelligent Environments

Carneiro

Advances in Intelligent and Soft Computing

et al. 2010

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“…As an example, if the Group Decision module decides that the user must visit a medical center the iGenda is prepared to receive the respective information and conveniently process it, according to its level of criticism, and reorganize the user schedule in a short period of time. In order to be fully integrated in the VirtualECare architecture the iGenda archetype has to respects its standards protocols of communication [13]. Moreover, it is expected that the user is always in communication with the system, in order that any event of extreme importance could be, at any time, added in its agenda [14].…”

Section: Igendamentioning

confidence: 99%

Memory Support in Ambient Assisted Living

Leveraging Knowledge for Innovation in Collaborative Networks

et al. 2009

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Abstract. Human collective set of experiences makes us who we are and help us delineate a path for our ongoing life. Ageing, however, progressively limits our ability to save, in our internal memory, these same experiences, or, at least, limits our capability to remember them. The capability to remember, intrinsic to our memory, is a very important one to us, as a human been, being this what deferent's us from several other species. In this paper we present a memory assistant sub module of a bigger project, the VirtualECare, which ability will be to remember us, not our past experiences, but our routine day-to-day tasks and activities, in a somehow proactive manner, thus, allowing us to have some relaxation about them, and focus the remaining of our ability in most important facts.

“…The VirtualECare project [5,9] aims at a Multi-agent based architecture in support of computational systems that seek to monitor and provide personalized health care services to the persons in need (i.e., its users or patients). These systems will be used to interconnect healthcare institutions, training facilities and leisure centres, shops and patients relatives, on a common network, i.e., the VirtualECare architecture stands for a distributed one with its different nodes answering for a different role, either in terms of a call centre, a group decision support system or a monitoring device, just to name a few.…”

Section: The Virtualecare Projectmentioning

confidence: 99%

Case-Based Reasoning Decision Making in Ambient Assisted Living

Carneiro

Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living

et al. 2009

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Quality on the welfare services in caring, and the trend to minimize the economical and social-political costs that come with such practice, due to the population aging, are paramount nowadays, i.e., health care reform has become the leading policy issue in all latitudes. Indeed, the major thrust of all this research is the perception that escalating costs make the current structure and financing of health care unsustainable. The issue of sustainability is, therefore, the main subject of this paper. As a result, and in order to accomplish this goal, we decided to look to the problem from an user perspective, i.e., the system not only will provide different services, but will be also able to trace the ones more frequently used and to learn about the context in which they happen. As a result, we will have a system that will act and learn according to the preferences and habits of its users, and, simultaneously, will adapt to the environment with the objective of reducing the cost of its practices.