This paper presents an autonomous intelligent agent developed for monitoring Alzheimer patients' health care in execution time in geriatric residences. The AGALZ (Autonomous aGent for monitoring ALZheimer patients) is an autonomous deliberative casebased planner agent designed to plan the nurses' working time dynamically, to maintain the standard working reports about the nurses' activities, and to guarantee that the patients assigned to the nurses are given the right care. The agent operates in wireless devices and is integrated with complementary agents into a multi-agent system, named ALZ-MAS (ALZheimer Multi-Agent System), capable of interacting with the environment. AGALZ description, its relationship with the complementary agents, and preliminary results of the multi-agent system prototype in a real environment are presented.

This intelligent environment's key agent, GerAg, dynamically schedules nurses' tasks, reports on their activities, and monitors patient care.M any countries face an ever-growing need to supply constant care and support for their disabled and elderly populations. Over the past 30 years, the number of Europeans over 60 years of age has risen by about 50 percent, and now represents more than 25 percent of the population. Within 20 years, experts estimate that this percentage will rise to one-third of the population, or more than 200 million people. 1 Studies in other parts of the world show similar tendencies. In the US, people over 65 years are the fastestgrowing segment of the population; by 2020, they'll represent about 1 of 6 citizens. Furthermore, many people over 85 require continuous monitoring and daily care.Finding more effective ways to provide care for elderly and disabled populations has become a major challenge for the scientific community. 1 Creating secure, unobtrusive, and adaptable environments for monitoring and optimizing healthcare will become vital in the near future. Recently, researchers have begun exploring multiagent systems and architectures to create intelligent supervision systems. These intelligent systems aim to support elderly and Alzheimer's patients in all aspects of daily life, predicting potential hazardous situations and delivering physical and cognitive support.When coupled with RFID, Wi-Fi technologies, and handheld devices, such multiagent systems offer many new possibilities and have given rise to new fields aimed at integrating distributedintelligence software applications into our daily lives. One such field is ambient intelligence, which proposes a new interaction model in which developers adapt technology to people and their context 1 and offer users simple, natural, and effortless system interactions.Ambient intelligence's goal is to develop intelligent, intuitive systems and interfaces that can ubiquitously recognize and respond to user needs. To achieve this, developers must provide ubiquitous computation and communication capabilities, focus on users' needs during development, and create technologically complex environments in medical, domestic, academic, and other contexts.Guided by these requirements, we've developed Geriatric Ambient Intelligence, an intelligent environment that integrates multiagent systems, mobile devices, RFID, and Wi-Fi technologies to facilitate management and control of geriatric residences. At GerAmi's core is the geriatric agent (GerAg), a deliberative agent that incorporates a case-based planning (CBP) mechanism to optimize work schedules and provide up-to-date patient and facility data. We've successfully implemented a system prototype at a care facility for Alzheimer patients. • • •

Abstract-Ambient intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a distributed telemonitoring system, aimed at improving healthcare and assistance to dependent people at their homes. The system implements a service-oriented architecture based platform, which allows heterogeneous wireless sensor networks to communicate in a distributed way independent of time and location restrictions. This approach provides the system with a higher ability to recover from errors and a better flexibility to change their behavior at execution time. Preliminary results are presented in this paper.

Abstract. This article presents PANGEA, an agent platform to develop open multiagent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user. Additionally, it includes a communication protocol based on the IRC standard, which facilitates implementation and remains robust even with a large number of connections. The introduction of a CommunicationAgent and a Sniffer make it possible to offer web services for the distributed control of interaction.

This paper presents a multi-agent architecture that facilitates the development of real-time multi-agent systems based on the SIMBA approach. The approach allows the integration of unbounded deliberative processes with critical real-time tasks. CBP-BDI deliberative agents collaborate with ARTIS agents in order to solve real-time problems efficiently. The proposal has been successfully tested and evaluated in a case study based on the use of mobile robots for mail delivery.