A Multi-Agent-Based Architecture for Enterprise Customer and Supplier Cooperation Context-Aware Information Systems

2007 ◽  
Author(s):  
Xiang Liu
Keyword(s):  
Information Systems ◽  
Context Aware ◽  
Agent Based ◽  
Multi Agent

A multi-agent based approach for modelling context-aware systems

2017 ◽  
Vol 13 (4) ◽  
pp. 373-394
Author(s):  
Ali Sahnoun ◽  
Ahmed Taki Eddine Dib ◽  
Ramdane Maamri
Keyword(s):  
Context Aware ◽  
Agent Based ◽  
Multi Agent

A co–Evolutionary Complex Systems Perspective on Information Systems

2006 ◽  
Vol 21 (4) ◽  
pp. 229-238 ◽  
Author(s):  
Peter M Allen ◽  
Liz Varga
Keyword(s):  
Information Systems ◽  
Complex Systems ◽  
Organizational Life ◽  
Personal Constructs ◽  
Shared Reality ◽  
Agent Based ◽  
Systems Perspective ◽  
It Systems ◽  
Multi Agent ◽  
The Individual

The co-evolution of information systems (IS) and the processes that underpin the construction and development of IT systems are explained from a complex systems perspective. Evolution operates at the microscopic level; in organizations, this is the individual or agent. Each agent has an idiosyncratic view of the organization, using to some extent personal constructs in dealing with the reality of organizational life. These objects or constructs can be described and measured by most agents; they are well defined. Many of these objects are represented in electronic, IT systems. Each agent also has their own view as to how they know what they know, that is, their epistemology, which we argue is their IS, and is wider than the IT systems they use. The IS of each agent co-evolves, by interaction with other agents, based on the agent's view of reality. The interaction of all agents constitutes the organization. Even more importantly, different values and interests motivate each agent. This is their axiology and it is what motivates them to learn and to develop their IS. An agent-based axiological framework is essential to understanding the evolution of organizations. It is the interaction of agents that builds consensus as to the shared reality of the organization, and this affects each agent's ability and motivation to evolve IS further. In addition, we propose that it is time that IT systems included modelling capabilities, based on multi-agent representations of the organization and its context, to explore and support strategic thinking and decision making.

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.

Multi-Agent Based Context Aware Multicast Routing in VANET

2017 ◽  
Vol 5 (10) ◽  
pp. 26-37
Author(s):  
A. D. Devangavi ◽  
◽  
◽  
Rajendra Gupta
Keyword(s):  
Multicast Routing ◽  
Context Aware ◽  
Agent Based ◽  
Multi Agent
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