Dynamic Matchmaking between Messages and Services in Multi-agent Information Systems

2003 ◽  
pp. 244-246
Author(s):  
Muhammed Al-Muhammed ◽  
David W. Embley
Keyword(s):  
Information Systems ◽  
Multi Agent

scholarly journals Interoperability in Healthcare

2017 ◽  
pp. 689-714 ◽  
Author(s):  
Luciana Cardoso ◽  
Fernando Marins ◽  
César Quintas ◽  
Filipe Portela ◽  
Manuel Santos ◽  
...  
Keyword(s):  
Information Systems ◽  
Patient Information ◽  
Swot Analysis ◽  
Medical Information ◽  
Healthcare Delivery ◽  
Quality Of Healthcare ◽  
High Availability ◽  
Heterogeneous Information ◽  
Multi Agent

With the advancement of technology, patient information has been being computerized in order to facilitate the work of healthcare professionals and improve the quality of healthcare delivery. However, there are many heterogeneous information systems that need to communicate, sharing information and making it available when and where it is needed. To respond to this requirement the Agency for Integration, Diffusion, and Archiving of medical information (AIDA) was created, a multi-agent and service-based platform that ensures interoperability among healthcare information systems. In order to improve the performance of the platform, beyond the SWOT analysis performed, a system to prevent failures that may occur in the platform database and also in machines where the agents are executed was created. The system has been implemented in the Centro Hospitalar do Porto (one of the major Portuguese hospitals), and it is now possible to define critical workload periods of AIDA, improving high availability and load balancing. This is explored in this chapter.

Towards Multi-Agent Health Information Systems

2015 ◽  
Vol 6 (4) ◽  
pp. 20-38 ◽  
Author(s):  
Andrea Claudi ◽  
Paolo Sernani ◽  
Aldo Franco Dragoni
Keyword(s):  
Information Systems ◽  
Health Information ◽  
New Technologies ◽  
Health Information System ◽  
Emergency Situation ◽  
Health Information Systems ◽  
International Standards ◽  
Radiology Workflow ◽  
Healthcare Sector ◽  
Multi Agent

One of the key challenges in the healthcare sector is to adapt Health Information Systems to requirements coming from changing societies. In recent years, governments and international healthcare organizations defined a series of requirements for new generation Health Information Systems: they have to preserve past investments on legacy systems, but must also integrate new technologies, include the patient among their users, and ensure that clinical information are available at all times, even in places far from where information are physically stored. This paper proposes a multi agent-oriented architecture for Health Information Systems, which uses international standards for communication and management of clinical documents. The architecture tries to effectively model a generic healthcare organization, and aims at being easily extensible and adaptable to the particularities of specific healthcare systems. The authors present two experimental scenarios to test the proposed multi-agent health information system. In the first, they show how to model a specific use case, a radiology workflow, using agents and well-known standards; in the second one the authors demonstrate how a mobile application can use the services provided by the agents to support the medical staff in an emergency situation.

Caste-Centric Development of Agent-Oriented Information Systems

2007 ◽  
pp. 692-707 ◽  
Author(s):  
L. Shan ◽  
R. Shen ◽  
J. Wang
Keyword(s):  
Information Systems ◽  
Formal Specification ◽  
Process Model ◽  
Formal Specifications ◽  
Multi Agent Systems ◽  
Collaborative Development ◽  
Analysis And Design ◽  
Agent Systems ◽  
Multi Agent ◽  
Formal Specification Language

Based on the meta-model of information systems presented in Zhu (2006), this chapter presents a caste-centric agent-oriented methodology for evolutionary and collaborative development of information systems. It consists of a process model called growth model, and a set of agent-oriented languages and software tools that support various development activities in the process. At the requirements analysis phase, a modelling language and environment called CAMLE supports the analysis and design of information systems. The semi-formal models in CAMLE can be automatically transformed into formal specifications in SLABS, which is a formal specification language designed for formal engineering of multi-agent systems. At implementation, agent-oriented information systems are implemented directly in an agent-oriented programming language called SLABSp. The features of agent-oriented information systems in general and our methodology in particular are illustrated by an example throughout the chapter.

A Conceptual Modeling Framework for Multi-agent Information Systems

2000 ◽  
pp. 295-308
Author(s):  
Ricardo M. Bastos ◽  
José Palazzo M. de Oliveira
Keyword(s):  
Information Systems ◽  
Conceptual Modeling ◽  
Modeling Framework ◽  
Multi Agent

scholarly journals A Traveller Information System: Minimisation of the Number of Graphs’ Nodes Involved When Processing Route Requests

2014 ◽  
Vol 15 (4) ◽  
pp. 280-291 ◽  
Author(s):  
Zakaria Bendaoud ◽  
Karim Bouamrane
Keyword(s):  
Information System ◽  
Information Systems ◽  
Public Transport ◽  
Processing Route ◽  
Multi Agent System ◽  
Agent System ◽  
Multimodal Information ◽  
Calculation Process ◽  
Multi Agent ◽  
Voronoi Decomposition

Abstract The number of people using public transport is continuously increasing. Transport companies want to fulfil travellers’ expectations wherever possible. However, the great number of public transport companies operating in the same area can sometimes confuse travellers as to which route they should take and how to obtain the information relative to their journey. In this paper we suggest integrating several traveller information systems from different companies into the same multimodal information system, offering companies the choice not to share their data. This encourages them to join the system. Additionally, we have minimised the number of nodes involved when processing travellers’ requests in order to simplify the calculation process. To put our plan into action, we have opted for a multi-agent system coupled with the Voronoi decomposition for managing the network.

Sign in / Sign up

Export Citation Format

Share Document