A Distributed Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care

2009 ◽  
pp. 181-199 ◽  
Author(s):  
Dante I. Tapia ◽  
Sara Rodrı́guez ◽  
Juan M. Corchado
Keyword(s):  
Health Care ◽  
Ambient Intelligence ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Improving an Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care using Wireless Sensor Networks

2011 ◽  
pp. 17-30
Author(s):  
Dante I. Tapia ◽  
Ricardo S. Alonso ◽  
Juan M. Corchado
Keyword(s):  
Health Care ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ambient Intelligence ◽  
Wireless Sensor ◽  
Context Aware ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

This paper describes last improvements made on ALZ-MAS; an Ambient Intelligence based multi-agent system aimed at enhancing the assistance and health care for Alzheimer patients. The system makes use of several context-aware technologies that allow it to automatically obtain information from users and the environment in an evenly distributed way, focusing on the characteristics of ubiquity, awareness, intelligence, mobility, etc., all of which are concepts defined by Ambient Intelligence. Among these context-aware technologies we have Wireless Sensor Networks. In this sense, ALZ-MAS is currently being improved by the use of a new platform of ZigBee devices that provides the system with new telemonitoring and locating engines.

scholarly journals An Ambient Intelligence Based Multi-Agent System for Alzheimer Health Care

2010 ◽  
pp. 833-844 ◽  
Author(s):  
Dante I. Tapia ◽  
Juan M. Corchado
Keyword(s):  
Health Care ◽  
Ambient Intelligence ◽  
Context Aware ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

This article describes ALZ-MAS; an Ambient Intelligence based multi-agent system aimed at enhancing the assistance and health care for Alzheimer patients. The system makes use of several context-aware technologies that allow it to automatically obtain information from users and the environment in an evenly distributed way, focusing on the characteristics of ubiquity, awareness, intelligence, mobility, etc., all of which are concepts defined by Ambient Intelligence.

Planning Agent for Geriatric Residences

2011 ◽  
pp. 1316-1322 ◽  
Author(s):  
Javier Bajo ◽  
Dante I. Tapia ◽  
Sara Rodríguez ◽  
Juan M. Corchado
Keyword(s):  
Health Care ◽  
Radio Frequency Identification ◽  
Adaptive Systems ◽  
Autonomous Agent ◽  
Case Based Reasoning ◽  
Multi Agent System ◽  
Agent System ◽  
Learning And Adaptation ◽  
Multi Agent ◽  
Case Based

Agents and Multi-Agent Systems (MAS) have become increasingly relevant for developing distributed and dynamic intelligent environments. The ability of software agents to act somewhat autonomously links them with living animals and humans, so they seem appropriate for discussion under nature-inspired computing (Marrow, 2000). This paper presents AGALZ (Autonomous aGent for monitoring ALZheimer patients), and explains how this deliberative planning agent has been designed and implemented. A case study is then presented, with AGALZ working with complementary agents into a prototype environment-aware multi-agent system (ALZ-MAS: ALZheimer Multi-Agent System) (Bajo, Tapia, De Luis, Rodríguez & Corchado, 2007). The elderly health care problem is studied, and the possibilities of Radio Frequency Identification (RFID) (Sokymat, 2006) as a technology for constructing an intelligent environment and ascertaining patient location to generate plans and maximize safety are examined. This paper focuses in the development of natureinspired deliberative agents using a Case-Based Reasoning (CBR) (Aamodt & Plaza, 1994) architecture, as a way to implement sensitive and adaptive systems to improve assistance and health care support for elderly and people with disabilities, in particular with Alzheimer. Agents in this context must be able to respond to events, take the initiative according to their goals, communicate with other agents, interact with users, and make use of past experiences to find the best plans to achieve goals, so we propose the development of an autonomous deliberative agent that incorporates a Case-Based Planning (CBP) mechanism, derivative from Case-Based Reasoning (CBR) (Bajo, Corchado & Castillo, 2006), specially designed for planning construction. CBP-BDI facilitates learning and adaptation, and therefore a greater degree of autonomy than that found in pure BDI (Believe, Desire, Intention) architecture (Bratman, 1987). BDI agents can be implemented by using different tools, such as Jadex (Pokahr, Braubach & Lamersdorf, 2003), dealing with the concepts of beliefs, goals and plans, as java objects that can be created and handled within the agent at execution time.

Ontology and Terminology Servers in Agent-based Health-care Information Systems

1997 ◽  
Vol 36 (01) ◽  
pp. 30-43 ◽  
Author(s):  
G. Lanzola ◽  
M. Stefanelli ◽  
S. Falasconi
Keyword(s):  
Health Care ◽  
Information System ◽  
Distributed Applications ◽  
Multi Agent System ◽  
Health Care Information ◽  
Agent System ◽  
Semantic Coherence ◽  
Architectural Framework ◽  
Care Information ◽  
Multi Agent

Abstract:A new research paradigm is emerging based on the multi-agent system architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. Within a multi-agent system, the different “views of the world” of knowledgeable agents are to be bridged through their commitment to common ontologies and terminologies. We developed a general methodology for the design or integration of new components into a Health-care Information System conceived as a network of software and human agents. In our view, ontological and terminological services are entrusted to dedicated agents, namely ontology and terminology servers, allowing the configuration of suitable application ontologies for distributed applications. The role is described that such servers, operatively coordinated in order to preserve semantic coherence, should play within a distributed Health-care Information System.

OVACARE: A Multi-Agent System for Assistance and Health Care

2010 ◽  
pp. 318-327 ◽  
Author(s):  
Juan F. De Paz ◽  
Sara Rodríguez ◽  
Javier Bajo ◽  
Juan M. Corchado ◽  
Emilio S. Corchado
Keyword(s):  
Health Care ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Patient-centered multi agent system for health care

2015 ◽  
Vol 48 (3) ◽  
pp. 710-714 ◽  
Author(s):  
N. Benhajji ◽  
D. Roy ◽  
D. Anciaux
Keyword(s):  
Health Care ◽  
Multi Agent System ◽  
Patient Centered ◽  
Agent System ◽  
Multi Agent
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