Towards Complex Team Behavior in Multi-agent Systems Using a Commercial Agent Platform

2003 ◽  
pp. 175-185
Author(s):  
J. Vaughan ◽  
R. Connell ◽  
A. Lucas ◽  
R. Rönnquist
Keyword(s):  
Multi Agent Systems ◽  
Team Behavior ◽  
Agent Platform ◽  
Agent Systems ◽  
Multi Agent

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.

THOMAS: An agent platform for supporting normative multi-agent systems

2011 ◽  
Vol 23 (2) ◽  
pp. 309-333 ◽  
Author(s):  
N. Criado ◽  
E. Argente ◽  
V. Botti
Keyword(s):  
Multi Agent Systems ◽  
Agent Platform ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Odor Classification using Agent Technology

2014 ◽  
Vol 2 (4) ◽  
pp. 41-48
Author(s):  
Sigeru Omatu ◽  
Tatsuyuki Wada ◽  
Pablo Chamoso
Keyword(s):  
Intelligent Agents ◽  
Quartz Crystal ◽  
Classification Systems ◽  
Multi Agent Systems ◽  
Agent Platform ◽  
Agent Systems ◽  
Service Oriented ◽  
Multi Agent ◽  
Odor Classification ◽  
New Algorithms

In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed.

scholarly journals An Integrated System for Disabled People Developed with the Agent Platform PANGEA

2013 ◽  
Vol 2 (3) ◽  
pp. 65-77
Author(s):  
Carolina Zato ◽  
Gabriel Villarrubia ◽  
Javier Bajo ◽  
Juan Manuel Corchado
Keyword(s):  
Integrated System ◽  
Multi Agent Systems ◽  
End User ◽  
Agent Platform ◽  
Agent Systems ◽  
The Disabled ◽  
Agent Platforms ◽  
Multi Agent ◽  
Self Adaptation ◽  
High Dynamics

New trends in multi-agent systems call for self-adaptation and high dynamics, hence the new model of open MAS or virtual organization of agents. However, as existing agent platforms are not yet equipped to support this behavior, it is necessary to create new systems and mechanisms to facilitate the development of these new architectures. This article presents PANGEA, an agent platform to develop open multi-agent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user. Additionally, it includes a communication protocol based on the IRC standard, which facilitates implementation and remains robust even with a large number of connections. The introduction of a CommunicationAgent and a Sniffer make it possible to offer Web Services for the distributed control of interaction. In order to test PANGEA, an integral system was developed to help the disabled, gathering a set of easily deployable and integrated services under a single architecture.

scholarly journals Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

2021 ◽  
Vol 35 (1) ◽  
Author(s):  
Stefan Dähling ◽  
Lukas Razik ◽  
Antonello Monti
Keyword(s):  
Large Scale ◽  
Performance Metrics ◽  
Fault Tolerant ◽  
Multi Agent Systems ◽  
Agent Platform ◽  
Agent Systems ◽  
Iot Applications ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Container Orchestration

AbstractMulti-agent systems (MAS) represent a distributed computing paradigm well suited to tackle today’s challenges in the field of the Internet of Things (IoT). Both share many similarities such as the interconnection of distributed devices and their cooperation. The combination of MAS and IoT would allow the transfer of the experience gained in MAS research to the broader range of IoT applications. The key enabler for utilizing MAS in the IoT is the ability to build large-scale and fault-tolerant MASs since IoT concepts comprise possibly thousands or even millions of devices. However, well known multi-agent platforms (MAP), e. g., Java Agent DE-velopment Framework (JADE), are not able to deal with these challenges. To this aim, we present a cloud-native Multi-Agent Platform (cloneMAP) as a modern MAP based on cloud-computing techniques to enable scalability and fault-tolerance. A microservice architecture is used to implement it in a distributed way utilizing the open-source container orchestration system Kubernetes. Thereby, bottlenecks and single-points of failure are conceptually avoided. A comparison with JADE via relevant performance metrics indicates the massively improved scalability. Furthermore, the implementation of a large-scale use case verifies cloneMAP’s suitability for IoT applications. This leads to the conclusion that cloneMAP extends the range of possible MAS applications and enables the integration with IoT concepts.

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