Coordination models and languages: from parallel computing to self-organisation

2011 ◽  
Vol 26 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Andrea Omicini ◽  
Mirko Viroli
Keyword(s):  
Parallel Computing ◽  
Open Systems ◽  
Evolution Process ◽  
Database Integration ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Future ◽  
Key Factor ◽  
Multi Agent ◽  
Knowledge Intensive

AbstractStarting from the pioneering work on Lindaand Gamma, coordination models and languages have gone through an amazing evolution process over the years. From closed to open systems, from parallel computing to multi-agent systems and from database integration to knowledge-intensive environments, coordination abstractions and technologies have gained in relevance and power in those scenarios where complexity has become a key factor. In this paper, we outline and motivate 25 years of evolution of coordination models and languages, and discuss their potential perspectives in the future of artificial systems.

scholarly journals Using Agent-Based Methodologies in Healthcare Information Systems

2018 ◽  
Vol 18 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Reem Abdalla ◽  
Alok Mishra
Keyword(s):  
Information Systems ◽  
Systems Engineering ◽  
Open Systems ◽  
Health Information System ◽  
Multi Agent Systems ◽  
Health Care Information ◽  
Systems Methodology ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

Abstract This paper carries out a comparative analysis to determine the advantages and the stages of two agent-based methodologies: Multi-agent Systems Engineering (MaSE) methodology, which is designed specifically for an agent-based and complete lifecycle approach, while also being appropriate for understanding and developing complex open systems; Agent Systems Methodology (ASEME) suggests a modular Multi-Agent System (MAS) development approach and uses the concept of intra-agent control. We also examine the strengths and weaknesses of these methodologies and the dependencies between their models and their processes. Both methodologies are applied to develop The Guardian Angle: Patient-Centered Health Information System (GA: PCHIS), which is an example of agent-based applications used to improve health care information systems.

scholarly journals Multi-Agent Systems Engineering

2011 ◽  
pp. 207-224 ◽  
Author(s):  
Scott A. DeLoach ◽  
Madhukar Kumar
Keyword(s):  
Systems Engineering ◽  
Computer Virus ◽  
Database Integration ◽  
Multi Agent Systems ◽  
Heterogeneous Database ◽  
Actual System ◽  
Agent Systems ◽  
Multi Agent ◽  
Design Systems

This chapter provides an overview of the Multi-agent Systems Engineering (MaSE) methodology for analyzing and designing multi-agent systems. MaSE consists of two main phases that result in the creation of a set of complementary models that get successively closer to implementation. MaSE has been used to design systems ranging from a heterogeneous database integration system to a biologically based, computer virus-immune system to cooperative robotics systems. The authors also provide a case study of an actual system developed using MaSE in an effort to help demonstrate the practical aspects of developing systems using MaSE.

scholarly journals Multi-Agent Systems Engineering

2011 ◽  
pp. 317-340 ◽  
Author(s):  
Scott A. DeLoach ◽  
Madhukar Kumar
Keyword(s):  
Systems Engineering ◽  
Database Integration ◽  
Multi Agent Systems ◽  
Heterogeneous Database ◽  
Actual System ◽  
Agent Systems ◽  
Multi Agent ◽  
Design Systems ◽  
The Creation

This chapter provides an overview of the Multi-agent Systems Engineering (MaSE) methodology for analyzing and designing multi-agent systems. MaSE consists of two main phases that result in the creation of a set of complementary models that get successively closer to implementation. MaSE has been used to design systems ranging from a heterogeneous database integration system to a biologically based, computer virus-immune system to cooperative robotics systems. The authors also provide a case study of an actual system developed using MaSE in an effort to help demonstrate the practical aspects of developing systems using MaSE. Architecture (MDA) and Extended Markup Language (XML). The methodology is aimed at the creation of distributed socio-technical systems consisting of both humans and technical, including software, components that may, in turn, include software agents.

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