A Survey on Quality of Service Support on Middleware-Based Distributed Messaging Systems Used in Multi Agent Systems

2011 ◽  
pp. 77-84 ◽  
Author(s):  
Jose-Luis Poza-Luján ◽  
Juan-Luis Posadas-Yagüe ◽  
José-Enrique Simó-Ten
Keyword(s):  
Quality Of Service ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Service Support ◽  
Multi Agent

Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

2010 ◽  
pp. 326-345
Author(s):  
N. Sahli ◽  
G. Lenzini
Keyword(s):  
Recommender Systems ◽  
Virtual Communities ◽  
Multi Agent Systems ◽  
Artificial Intelligent ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

This chapter surveys and discusses relevant works in the intersection among trust, recommendations systems, virtual communities, and agent-based systems. The target of the chapter is showing how, thanks to the use of trust-based solutions and artificial intelligent solutions like that understanding agents-based systems, the traditional recommender systems can improve the quality of their predictions. Moreover, when implemented as open multi-agent systems, trust-based recommender systems can efficiently support users of mobile virtual communities in searching for places, information, and items of interest.

An Approach to Modeling Integrated Product Teams

2008 ◽  
Author(s):  
Richard M. Crowder ◽  
Y. W. Sim ◽  
Terry Payne ◽  
Mark Robinson ◽  
Helen Jackson ◽  
...  
Keyword(s):  
Design Domain ◽  
Multi Agent Systems ◽  
Full Understanding ◽  
Team Members ◽  
Agent Based ◽  
Agent Systems ◽  
Team Interactions ◽  
Multi Agent ◽  
Initial Results

This paper considers an agent-based approach to organizational modeling within the engineering design domain. It is widely recognized that interactions between individual designers, between (and within) integrated product teams (IPTs), together with the nature of design tasks have a significant impact upon how well a task can be performed, and hence the quality of the resultant product. In order for organizations to gain a full understanding of design team interactions within IPTs, we propose the use of multi-agent systems to model the behaviors and cognitions of team members, and to explore the applicability of different agent-theoretic approaches that could augment current team practices. In this paper we discuss the background to the work and the identifications of individual, and team variables. The paper concludes by discussing the computational model of a small IPT, which has been implemented using JADE, and the initial results are presented.

Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

2010 ◽  
pp. 135-153
Author(s):  
N. Sahli ◽  
G. Lenzini
Keyword(s):  
Recommender Systems ◽  
Virtual Communities ◽  
Multi Agent Systems ◽  
Artificial Intelligent ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

This chapter surveys and discusses relevant works in the intersection among trust, recommendations systems, virtual communities, and agent-based systems. The target of the chapter is showing how, thanks to the use of trust-based solutions and artificial intelligent solutions like that understanding agents-based systems, the traditional recommender systems can improve the quality of their predictions. Moreover, when implemented as open multi-agent systems, trust-based recommender systems can efficiently support users of mobile virtual communities in searching for places, information, and items of interest.

A Methodology for Ontological Mediation in Multi-Agent Systems

2009 ◽  
pp. 246-267
Author(s):  
Shahram Rahimi
Keyword(s):  
Data Gathering ◽  
Classification Model ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Retrieval Systems ◽  
Multi Agent ◽  
Incorrect Information ◽  
Search And Retrieval

The effectiveness of current search and retrieval systems is restricted as they do not use the semantics of the data but mainly utilize keywords. Multi-agent systems in which agents gather information and organize it, by creating ontologies, are being utilized to improve the performance and quality of the data gathering and integrating systems. Major difficulties that arise during collaboration among such agents are ambiguity and data misinterpretation. This is due to the diversity of ontology creators, differences in linguistics and ontological overlapping. Users may also knowingly or unknowingly add incorrect information to ontologies. Ontological Mediation tries to address such collaboration issues relating to ambiguous and unfamiliar information arising due to various reasons. We propose a communication based approach for ontological mediation. In the process, we also present a classification model for ontological mediation.

An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems

2010 ◽  
Vol 1 (1) ◽  
pp. 28-40 ◽  
Author(s):  
Weir Ying ◽  
Jaminda S. Wimalasiri ◽  
Pradeep Ray ◽  
Subhagata Chattopadhyay ◽  
Concepción S. Wilson
Keyword(s):  
Health Systems ◽  
Patient Information ◽  
Quality Of Healthcare ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Current Health ◽  
Ontology Structure ◽  
Multi Agent

One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the information in distributed, heterogeneous e-health systems. Using a layered ontology structure we show how ontology based multi-agent systems can be used to resolve discrepancies in terminology and/or structure. This involves a case study in a distributed Electronic Health Record (EHR) environment.

An Agent-Based Approach to Modeling Integrated Product Teams Undertaking a Design Activity

2009 ◽  
Author(s):  
Yee-Wai Sim ◽  
Richard Crowder ◽  
Mark Robinson ◽  
Helen Hughes
Keyword(s):  
Computational Model ◽  
Design Activity ◽  
Multi Agent Systems ◽  
Ongoing Research ◽  
Agent Based ◽  
Design Task ◽  
Agent Systems ◽  
Multi Agent ◽  
Product Team

The interactions between individual designers, within integrated product teams, and the nature of design tasks, all have a significant impact upon how well a design task can be performed, and hence the quality of the resultant product and the time in which it can be delivered. In this paper we describe an ongoing research project which aims to model integrated product teams through the use of multi-agent systems. We first describe the background and rationale for our work, and then present our initial computational model and results from the simulation of an integrated product team. The paper concludes with a discussion of how the model will evolve to improve the accuracy of the simulation.

scholarly journals GENERAL MODEL FOR ORGANIZING INTERACTIONS IN MULTI-AGENT SYSTEMS

2014 ◽  
pp. 224-233
Author(s):  
Anton Kabysh ◽  
Vladimir Golovko
Keyword(s):  
Reinforcement Learning ◽  
General Model ◽  
Payoff Function ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Learning Paradigm ◽  
Agent Systems ◽  
Multi Agent ◽  
Value Learning

In this article we describe a model for finding optimal for learning the behavior of a group of agents in a collaborative multiagent setting. This model contains a set of scalable techniques that organize behavior of a multi- agent system. As a basis we use the framework of coordination graphs which exploits the dependencies between agents to decompose the global payoff function into a sum of local terms. To estimate a quality of interactions between agents we are using the concepts of the influence value learning paradigm. In last section we present the implementation of the considered model via reinforcement learning and experimental results of the use of this paradigm.

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