Abstract:Researches on Ambient Intelligent and Ubiquitous Computing using wireless technologies have increased in the last years. In this work, we review several scenarios to define a multi-agent architecture that sup-port the information needs of these new technologies, for heterogeneous domain. Our contribution con-sists of designing in a methodological way a Context Aware System (involving location services) using agents that can be used in very different domains. We describe all the steps followed in the design of the agent system. We apply a hybridizing methodology between GAIA and AUML. Additionally we pro-pose a way to compare different agent architectures for Context Aware System using agent interactions. So, in this paper, we describe the assignment of weight values to agents interaction in two different MAS architectures for Context Aware problems solving different scenarios inspired in FIPA standard negotia-tion protocols.

Background Athletic pubalgia (AP), a frequent problem among professional roller hockey players (PRHPs), consists of lower abdominal and groin pain, without the presence of true hernia. Aims We assessed cetylated fatty acids (CFAs) in association with conservative therapy for treatment of AP in PRHPs. Methods Ultrasound examination was performed before and after treatment. Strength tests were performed and AP-related pain was measured during the treatment period. Findings Nine of 10 enrolled PRHPs completed a 12-week treatment with CFAs in association with conservative therapy, consisting of manual therapy, diathermy or ultrasonography. Initial ultrasound examination showed AP signs in 7 (70%) of 10 PRHPs. After 12 weeks of therapy, these signs could only be detected by ultrasound in 2 (22.2%) of 9 PRHPs. An increase in muscle strength (already after first week of treatment) and a reduction of AP-related pain were also observed during the treatment. Conclusion The association of CFA treatment with a conservative rehabilitation therapy improves muscle strength and pain and may accelerate recovery from AP.

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Spatial conditions of observation are considerably important for some services. Existing distance between the requester and provider agents, while interacting, may influence in a significant way the quality of the provided services. In these cases, recommendations and direct evaluation of services have to take into account such distances. The contribution of this paper is the development of a reputation system that takes into account spatial and temporal properties of interactions for ambient intelligence environments. The system was defined as an extension of an already existing Protégé ontology for Ambient Intelligence domains: suggested the corresponding equations (inspired in previous works from other authors): validated the proposal with a case of use, we implemented the corresponding behaviors of JADE agents: and executed simulations to show how considering distance may improve reputation accuracy in Ambient Intelligence domains.