A THRESHOLD-BASED CONTROLLER FOR MULTI-AGENT SYSTEMS

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Olumide Simeon Ogunnusi ◽  
Shukor Abd Razak ◽  
Abdul Hanan Abdullah
Keyword(s):  
Mobile Agents ◽  
Multi Agent Systems ◽  
Available Bandwidth ◽  
Agent Systems ◽  
Network Bandwidth ◽  
Proposed Model ◽  
Basic Parameters ◽  
Multi Agent

Monitoring and regulating the deployment of mobile agents to a network based on its available bandwidth is crucial to forestall the possibility of congestion and consequent network degradation. Our study has shown that only one experimental modelhas addressed the issue. Investigation into this model revealed its failure to honour some basic parameters necessary to yield efficient result. These parameters and network bandwidth determine the maximum deployable number of agents to a network. To achieve the set objective, a threshold-based controller is proposed to regulate the injection of mobile agents into the network relative to the available bandwidth, agent size and router traffic size. The result obtained shows that the proposed model is more accurate and reliable than the existing one.

Embeddable Mobile-C for Runtime Support of Code Mobility in Multi-Agent Systems

2007 ◽  
Author(s):  
Yu-Cheng Chou ◽  
David Ko ◽  
Harry H. Cheng
Keyword(s):  
Operating Systems ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Distributed Applications ◽  
Multi Agent Systems ◽  
Agent Platform ◽  
Agent Systems ◽  
Code Mobility ◽  
Mobile Agent Systems ◽  
Multi Agent

Agent technology is emerging as an important concept for the development of distributed complex systems. A number of mobile agent systems have been developed in the last decade. However, most of them were developed to support only Java mobile agents. Furthermore, many of them are standalone platforms. In other words, they were not designed to be embedded in a user application to support the code mobility. In order to provide distributed applications with the code mobility, this article presents a mobile agent library, the Mobile-C library. The Mobile-C library is supported by various operating systems including Windows, Unix, and real-time operating systems. It has a small footprint to meet the stringent memory capacity for a variety of mechatronic and embedded systems. This library allows a Mobile-C agency, a mobile agent platform, to be embedded in a program to support C/C++ mobile agents. Functions in this library facilitate the development of a multi-agent system that can easily interface with a variety of hardware devices.

Incremental Distributed Learning with JavaScript Agents for Earthquake and Disaster Monitoring

2017 ◽  
Vol 8 (4) ◽  
pp. 34-53 ◽  
Author(s):  
Stefan Bosse
Keyword(s):  
Mobile Agents ◽  
Large Scale ◽  
Learning Algorithm ◽  
Seismic Station ◽  
Geodetic Network ◽  
Distributed Learning ◽  
The Internet ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Ubiquitous computing and The Internet-of-Things (IoT) grow rapidly in today's life and evolving to Self-organizing systems (SoS). A unified and scalable information processing and communication methodology is required. In this work, mobile agents are used to merge the IoT with Mobile and Cloud environments seamless. A portable and scalable Agent Processing Platform (APP) provides an enabling technology that is central for the deployment of Multi-Agent Systems (MAS) in strong heterogeneous networks including the Internet. A large-scale use-case deploying Multi-agent systems in a distributed heterogeneous seismic sensor and geodetic network is used to demonstrate the suitability of the MAS and platform approach. The MAS is used for earthquake monitoring based on a new incremental distributed learning algorithm applied to seismic station data, which can be extended by ubiquitous sensing devices like smart phones. Different (mobile) agents perform sensor sensing, aggregation, local learning and prediction, global voting and decision making, and the application.

R2-IBN

2009 ◽  
pp. 144-157
Author(s):  
Lobna Hsairi ◽  
Khaled Ghédira ◽  
Adel M. Alim ◽  
Abdellatif BenAbdelhafid
Keyword(s):  
Information Management ◽  
Organizational Structures ◽  
Agent Technology ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Intelligent Software ◽  
Proposed Model ◽  
Multi Agent ◽  
Collaboration And Communication ◽  
Negotiation Problem

In the age of information proliferation, openness, open information management, interconnectivity, collaboration and communication advances, extended enterprises must be up to date to the new strategic, economic and organizational structures. Consequently, intelligent software based on agent technology emerges to improve system design, and to increase enterprise competitive position as well. The competitiveness is based on the information management, cooperation, collaboration and interconnectivity. Thus, within these interconnectivity and cooperation, conflicts may arise. The automated negotiation plays a key role to look for a common agreement. Argumentation theory has become an important topic in the field of Multi-Agent Systems and especially in the negotiation problem. In this chapter, first, the proposed model MAIS-E2 (Multi-Agent Information System for an Extended Enterprise) is presented. Then an argumentation based negotiation framework: Relationship-Role and Interest Based Negotiation (R2-IBN) framework is presented, and within this framework, the authors focused mainly on, argument generation module via inference rules and argument selection module via fuzzy logic.

Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring

2019 ◽  
pp. 813-833
Author(s):  
Stefan Bosse
Keyword(s):  
Mobile Agents ◽  
Large Scale ◽  
Learning Algorithm ◽  
Seismic Station ◽  
Geodetic Network ◽  
Distributed Learning ◽  
The Internet ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Ubiquitous computing and The Internet-of-Things (IoT) grow rapidly in today's life and evolving to Self-organizing systems (SoS). A unified and scalable information processing and communication methodology is required. In this work, mobile agents are used to merge the IoT with Mobile and Cloud environments seamless. A portable and scalable Agent Processing Platform (APP) provides an enabling technology that is central for the deployment of Multi-Agent Systems (MAS) in strong heterogeneous networks including the Internet. A large-scale use-case deploying Multi-agent systems in a distributed heterogeneous seismic sensor and geodetic network is used to demonstrate the suitability of the MAS and platform approach. The MAS is used for earthquake monitoring based on a new incremental distributed learning algorithm applied to seismic station data, which can be extended by ubiquitous sensing devices like smart phones. Different (mobile) agents perform sensor sensing, aggregation, local learning and prediction, global voting and decision making, and the application.

scholarly journals Distributed event-triggered scheme for discrete-time second-order multi-agent systems

2016 ◽  
Vol 11 (1) ◽  
pp. 83-92
Author(s):  
Liu Quansheng ◽  
Xu Min ◽  
Peng Li
Keyword(s):  
Discrete Time ◽  
Functional Method ◽  
Second Order ◽  
Linear Matrix ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Network Bandwidth ◽  
Multi Agent ◽  
The Stability ◽  
Event Triggered

In order to achieve the consistency of multi-agent systems, each agent needs to communicate with its adjacent agents, which will consume energy of sensors embedded on the agents and occupy network bandwidth of multi-agent systems. Both resources are limited. To solve the above problem, a novel distributed event-triggered scheme of discrete-time second-order multi-agent systems are proposed in this article. The characteristics of the scheme have two aspects. Firstly, the event-triggered conditions are considered for the state and the velocity separately. Secondly, when the event is triggered on an agent, the agent only communicates with its local neighbors. Then, the agent and its local neighbors update their controls while the other agents' controllers remain unchanged. So the scheme can maximize reduction of the sensor energy consuming and communication burden in the multi-agent network. Based on the Lyapunov functional method, a sufficient condition is obtained to achieve the stability of the second-order multi-agent systems in terms of linear matrix inequality. Finally, numerical examples are presented to validate the proposed event-triggered consensus control.

Consensus-Based Cooperative Source Localization of Multi-Agent Systems with Sampled Range Measurements

2014 ◽  
Vol 02 (03) ◽  
pp. 231-241 ◽  
Author(s):  
Guofei Chai ◽  
Che Lin ◽  
Zhiyun Lin ◽  
Weidong Zhang
Keyword(s):  
Source Localization ◽  
Mobile Agents ◽  
Multi Agent Systems ◽  
Globally Asymptotically Stable ◽  
Range Measurements ◽  
Agent Systems ◽  
Mild Conditions ◽  
Relative Coordinate ◽  
Multi Agent ◽  
Fusion Scheme

This paper deals with the cooperative source localization problem for a cluster of mobile agents. The goal of each agent is to estimate the relative coordinate of a stationary source in its local frame via a cooperative manner. It is assumed that each agent may or may not have direct range measurements about the source or some neighbors. Collaboration among agents is desired so that every agent is able to estimate the relative coordinate of the source in real time though some agents may not have direct range measurements about the source. A novel discrete-time estimator and a consensus-like fusion scheme are developed for the problem. It is shown that the estimator together with the fusion scheme are globally asymptotically stable under very mild conditions. Numerical simulations are presented to illustrate the effectiveness of the proposed algorithms.

A multi-agent systems-based contractor pre-qualification model

2016 ◽  
Vol 23 (6) ◽  
pp. 709-726 ◽  
Author(s):  
Faikcan Kog ◽  
Hakan Yaman
Keyword(s):  
Selection Process ◽  
Construction Sector ◽  
Multi Agent Systems ◽  
Content Type ◽  
Quantitative Survey ◽  
Agent Systems ◽  
Proposed Model ◽  
Multi Agent ◽  
User Friendly ◽  
Selection Of

Purpose The selection of the contractor, as a main participant of a construction project, is the most important and challenging decision process for a client. The purpose of this paper is to propose a multi-agent systems (MAS)-based contractor pre-qualification (CP) model for the construction sector in the frame of the tender management system. Design/methodology/approach The meta-classification and analysis study of the existing literature on CP, contractor selection and criteria weighting issues, which examines the current and important CP criteria, other than price, is introduced structurally. A quantitative survey, which is carried out to estimate initial weightings of the identified criteria, is overviewed. MAS are used to model the pre-qualification process and workflows are shown in Petri nets formalism. A user-friendly prototype program is created in order to simulate the tendering process. In addition, a real case regarding the construction work in Turkey is analyzed. Findings There is a lack of non-human-driven solutions and automation in CP and in the selection problem. The proposed model simulates the pre-qualification process and provides consistent results. Research limitations/implications The meta-classification study consists of only peer-reviewed papers between 1992 and 2013 and the quantitative survey initiates the perspectives of the actors of Turkish construction sector. Only the traditional project delivery method is selected for the proposed model, that is other delivery methods such as design/build, project management, etc., are not considered. Open, selective limited and negotiated tendering processes are examined in the study and the direct supply is not considered in the scope. Practical implications The implications will help to provide an objective CP and selection process and to prevent the delays, costs and other troubles, which are caused by the false selection of a contractor. Originality/value Automation and simulation in the pre-qualification and the selection of the contractor with a non-human-driven intelligent solution ease the decision processes of clients in terms of cost, time and quality.

Adopting trust and assurance as indicators for the reassignment of responsibilities in multi-agent systems

2015 ◽  
Vol 30 (2) ◽  
pp. 187-200 ◽  
Author(s):  
Benjamin Gâteau ◽  
Moussa Ouedraogo ◽  
Christophe Feltus ◽  
Guy Guemkam ◽  
Grégoire Danoy ◽  
...  
Keyword(s):  
Distributed Systems ◽  
Weather Station ◽  
Multi Agent Systems ◽  
New Approach ◽  
Agent Systems ◽  
Trust Level ◽  
Proposed Model ◽  
Selection Parameter ◽  
Multi Agent

AbstractMulti-agent systems have been widely used in the literature, including for the monitoring of distributed systems. However, one of the unresolved issues in this technology remains in the reassignment of the responsibilities of monitoring agents when some of them become unable to meet their obligations. This paper proposes a new approach for solving this problem based on (a) the gathering of evidence on whether the agent can or cannot fulfil the tasks it has been assigned and (b) the reassignment of the task to alternative agents using their trust level as a selection parameter. A weather station case study is proposed as an instantiation of the proposed model.

Sign in / Sign up

Export Citation Format

Share Document