      Javier Bajo 1 , Ana de Luis 2 , Angélica Gonzalez 2 , Dante I. Tapia 2 , Alberto Saavedra 3 and Juan M. Corchado 2 1 Universidad Pontificia de Salamanca, Compañía 5, 37002, Salamanca, Spain jbajope@upsa.es 2 Departamento Informática y Automática, Universidad de Salamanca Plaza de la Merced s/n 37008, Salamanca, Spain {adeluis, angelica, corchado}@usal.es 3 Tulecom Group, Salamanca, Spain alberto.saavedra@tulecom.com  This paper presents an autonomous intelligent agent developed for ambient intelligence health care in geriatric residences. The paper focuses on Ambient Intelligence (AmI) Technologies since the vision of AmI assumes seamless, unobtrusive, and often invisible but also controllable interactions between humans and technology. Monitoring within the care process is a vital function requiring AmI solutions. An autonomous deliberative case:based planner agent, AGALZ (Autonomous aGent for monitoring ALZheimer patients), is designed to facilitate the nurses’ integration into a multi:agent intelligent environment, named ALZ:MAS (ALZheimer Multi:Agent System), capable of obtaining information about the environment through RFID technology. The agent operates in wireless devices and is integrated with complementary agents.   Ambient intelligent environments are characterised by their ubiquity, transparency and intelligence [2]. The Agents and multi:agent systems (MAS) have become increasingly relevant for developing distributed and dynamic intelligent environments. This paper presents AGALZ (Autonomous aGent for monitoring ALZheimer patients), and explain how this deliberative planning agent have been designed and implemented. A case study is then presented, with AGALZ working in conjunction with complementary agents into a prototype multi:agent system (ALZ: MAS: ALZheimer Multi:Agent System). The residential health care problem is studied in terms of ambient intelligence and a multi:agent based solution is proposed in order to improve the efficiency of health care in geriatric residences. We also examine the residential health care problem and the possibilities of Radio Frequency Identification (RFID)[10] as a technology for constructing an intelligent environment and ascertaining patient location to generate plans and maximize safety. We are mainly interested in the development of deliberative agents using case: based reasoning (CBR) [1] architecture, as a way to implement adaptive systems to improve assistance and health care support for elderly and people with disabilities, in