Sistema multiagente sensible al contexto

[EN] It is important to note that any context can set the stage for performing automated tasks. At the same time, systems tend to offer collaborative support for users in their context. Keeping the context in mind raises the issue of the need to provide technological solutions that help users with regards to their profile and location, as well as changes that can occur in their environment. Although the techniques developed to date for context-aware systems provide a solid base for modeling and interpreting the context, there are aspects that have been sufficiently well covered in current systems. A context-aware system uses the surrounding environment to modify its behavior and thus better satisfy user needs. For the last several years, multiagent systems have been studied as an alternative for modeling context-aware systems, although they do not always cover all of the real needs for distributed systems. Multiagent systems facilitate the ability to reuse functionalities and to optimize the compatibility between different platforms. The present research study will introduce the Home Care Context-Aware Computing (HoCCAC) architecture, a multiagent architecture specially designed to meet the needs required by context-aware systems. HoCCAC defines a set of agents that optimizes the management of contextual information and improves the development of distributed, adaptable and ubiquitous systems with a certain degree of intelligence. HoCCAC achieves this by using information provider agents and incorporating the Critical Path Method (CPM) planning method and Case Based Reasoning (CBR) in the Interpreter Agent, the primary agent of the architecture. Although context-aware systems have numerous applications for different kinds of users, they may be very useful in studying the problems associated with an aging population, a situation of particular concern in many of the most developed countries in the world. Improving the social and economic consequences associated with an aging population is one of the goals of current national health care systems which must provide the best possible assistance to this group of dependent individuals, while ensuring its sustainability. Consequently, in order to test the HoCCAC architecture, a case study was defined, consisting of the development of a multiagent system prototype specially designed to improve services in the assistance and medical care at home for dependent persons, particularly those suffering from Chronic Obstructive Pulmonary Disease (COPD). The results obtained are quite satisfactory, demonstrating that the HoCCAC multiagent architecture can model and implement context aware systems very efficiently.

Author

• Fraile Nieto, Juan Agustín

• Tesis y disertaciones académicas
• Universidad de Salamanca (España)
• Tesis Doctoral
• Academic dissertations
• Computación sensible al contexto
• Context-aware computing
• Inteligencia ambiental
• Ambient intelligence
• Computación ubicua
• Ubiquitous computing

Identifier

hdl:10366/110666

OAI identifier oai:identifier

oai:gredos.usal.es:10366/110666