scholarly journals Multi-Agent based Capital Market Management System: A Distributed Framework for Trading and Regulation

2021 ◽  
Vol 13 (02) ◽  
pp. 1-14
Author(s):  
Muhammed Kabir Ahmed ◽  
Aliyuda Ali ◽  
Ali Ahmad Aminu ◽  
Hassan Ibrahim
Keyword(s):  
Capital Market ◽  
Vital Role ◽  
Agent Based ◽  
System A ◽  
Development Framework ◽  
Distributed Framework ◽  
Market Management ◽  
Strict Compliance ◽  
Multi Agent ◽  
Agent Development

Stock Market plays a vital role in the economy of every nation. Having a transparent market may boost the confidence of not only stock brokers but also that of investors. One of the major problems that make investors to shy away from the market is lack of transparency. Another Problem which affect the market regulators is the lack of a system that enable them to check for compliance easily. In this work, an agent based distributed framework is presented. The idea behind the proposed system is that having one system that will serve all the market stake holders will guaranty strict compliance to the market rules, easier to manage and difficult manipulate by the market operators. The implementation of the proposed system followed Multi-Agent Software Engineering (MaSE) Methodology. The evaluation of the system show that, the distributed system developed using Java Agent Development Framework (JADE) is capable of addressing problems of reliability, compliance and transparency.

Multi-Agent Based Dynamic E-Learning Environment

2011 ◽  
pp. 142-158 ◽  
Author(s):  
Saleh AlZahrani ◽  
Aladdin Ayesh ◽  
Hussein Zedan
Keyword(s):  
Learning Environment ◽  
Learning Objects ◽  
Agent Based ◽  
Development Framework ◽  
The World ◽  
E Learning ◽  
Multi Agent ◽  
The Subject ◽  
And Training ◽  
Agent Development

Grids are increasingly being used in applications, one of which is e-learning. As most of business and academic institutions (universities) and training centres around the world have adopted this technology in order to create, deliver and manage their learning materials through the Web, the subject has become the focus of investigate. Still, collaboration between these institutions and centres is limited. Existing technologies such as grid, Web services and agents are promising better results. In this article the authors support building our architecture Regionally Distributed Architecture for Dynamic e-Learning Environment (RDADeLE) by combining those technologies via Java Agent DEvelopment Framework (JADE). By describing these agents in details, they prove that agents can be implemented to work well to extend the autonomy and interoperability for learning objects as data grid.

Multi-agent-based hybrid peer-to-peer system for distributed information retrieval

2021 ◽  
pp. 016555152110103
Author(s):  
Abdel Naser Pouamoun ◽  
İlker Kocabaş
Keyword(s):  
Information Retrieval ◽  
Peer To Peer ◽  
P2p Network ◽  
Distributed Information ◽  
Agent Based ◽  
Distributed Information Retrieval ◽  
Development Framework ◽  
Multi Agent ◽  
Agent Development

With the increasingly huge amount of data located in various databases and the need for users to access them, distributed information retrieval (DIR) has been at the core of the preoccupations of a number of researchers. Indeed, numerous DIR systems and architectures have been proposed including the broker-based architecture. Moreover, providing DIR with more flexibility and adaptability has led researchers thinking to build DIR with software agents. Thus, this research proposes a design and an implementation of a novel system based on the broker-based architecture and the peer-to-peer (P2P) network called broker-based P2P network. The proposed architecture is implemented with a multi-agent system (MAS) where the main agent playing the role of the broker, receives query from a peer agent and forwards them to other peer agents each with their index and resources. Upon completing retrieval process at each peer agent, results are directly sent to the peer agent that initiated the query without using the broker agent. Java Agent DEvelopment framework (JADE) is used to implement the agents and, for experiments, TERRIER (TERabyte RetRIEveR) is extended and used as the search engine to retrieve the Text Retrieval Conference (TREC) collections dataset notably TREC-6. The peer agent that originated the query progressively collects results coming from other peer agents, normalises and merges them and then proceeds with re-ranking. For normalisation, MinMax and Sum that are unsupervised normalisation methods are used.

scholarly journals Agent Based Load Balancing in Grid Computing

2020 ◽  
Author(s):  
Wided Ali ◽  
Fatima Bouakkaz
Keyword(s):  
Load Balancing ◽  
Heterogeneous Systems ◽  
Agent Based ◽  
Selection Policy ◽  
Development Framework ◽  
Policy Selection ◽  
Proposed Model ◽  
Multi Agent ◽  
Location Policy ◽  
System Characteristics

Load-Balancing is an important problem in distributed heterogeneous systems. In this paper, an Agent-based load-balancing model is developed for implementation in a grid environment. Load balancing is realized via migration of worker agents from overloaded resources to underloaded ones. The proposed model purposes to take benefit of the multi-agent system characteristics to create an autonomous system. The Agent-based load balancing model is implemented using JADE (Java Agent Development Framework) and Alea 2 as a grid simulator. The use of MAS is discussed, concerning the solutions adopted for gathering information policy, location policy, selection policy, worker agents migration, and load balancing.

scholarly journals A Novel Multi-Agent-Based Collaborative Virtual Manufacturing Environment Integrated with Edge Computing Technique

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2815
Author(s):  
Xiaohui Zhang ◽  
Shufeng Tang ◽  
Xinhua Liu ◽  
Reza Malekian ◽  
Zhixiong Li
Keyword(s):  
Virtual Manufacturing ◽  
Edge Computing ◽  
Manufacturing Environment ◽  
Computing Technique ◽  
Agent Based ◽  
System A ◽  
Multi Agent ◽  
Save Energy ◽  
Virtual Manufacturing Environment

This paper proposes a multi-agent-based collaborative virtual manufacturing environment (VME) to save energy consumption and improve efficiency in the manufacturing process. In order to achieve the high autonomy of the manufacturing system, a multi-agent system (MAS) is designed to build a collaborative VME. In this new VME environment, edge computing is embedded to strengthen the cyber resource utilization and system economy. Moreover, an efficient communication channel between networks is proposed. The subsequent cooperation and collaboration protocols among agents are designed to ensure flexible and process-oriented operations. Furthermore, the fuzzy resolution algorithm is employed to resolve the competition conflicts among function-similar MASs in the distributed manufacturing scenario. Lastly, a simulation and case study are performed to evaluate the performance of the proposed VME in Internet of Things (IoT)-based manufacturing. The analysis results have demonstrated the feasibility and effectiveness of the proposed VME system.

scholarly journals Linked Data Aware Agent Development Framework for Mobile Devices

2018 ◽  
Vol 8 (10) ◽  
pp. 1831 ◽  
Author(s):  
İlker Boztepe ◽  
Rıza Erdur
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Linked Data ◽  
Process Data ◽  
Agent Based ◽  
Development Framework ◽  
Close Relationship ◽  
Data Environment ◽  
Networking Technologies ◽  
Agent Development

Due to advances in mobile device and wireless networking technologies, it has already been possible to transfer agent technology into mobile computing environments. In this paper, we introduce the Linked Data Aware Agent Development Framework for Mobile Devices (LDAF-M), which is an agent development framework that supports the development of linked data aware agents that run on mobile devices. Linked data, which is the realization of the semantic web vision, refers to a set of best practices for publishing, interconnecting and consuming structured data on the web. An agent developed using LDAF-M has the ability to obtain data from the linked data environment and internalize the gathered data as its beliefs in its belief base. Besides linked data support, LDAF-M has also other prominent features which are its peer-to-peer based communication infrastructure, compliancy with Foundation for Intelligent Physical Agents (FIPA) standards and support for the Belief Desire Intention (BDI) model of agency in mobile device agents. To demonstrate use of LDAF-M, an agent based auction application has been developed as a case study. On the other hand, LDAF-M can be used in any scenario where systems consisting of agents in mobile devices are to be developed. There is a close relationship between agents and linked data, since agents are considered as the autonomous computing entities that will process data in the linked data environment. However, not much work has been conducted on connecting these two related technologies. LDAF-M aims to contribute to the establishment of the connections between agents and the linked data environment by introducing a framework for developing linked data aware agents.

scholarly journals The Fabricare system: a multi-agent-based scheduling prototype

2004 ◽  
Vol 15 (2) ◽  
pp. 156-165 ◽  
Author(s):  
Paulo Sousa ◽  
Carlos Ramos ◽  
José Neves
Keyword(s):  
Agent Based ◽  
System A ◽  
Multi Agent

A Multi-Agent Based Scheduling System: A Co-Operative and Reactive Approach

1998 ◽  
Vol 31 (15) ◽  
pp. 673-678 ◽  
Author(s):  
Erwan Tranvouez ◽  
Bernard Espinasse ◽  
Jean-Paul Chirac
Keyword(s):  
Agent Based ◽  
Scheduling System ◽  
System A ◽  
Multi Agent

scholarly journals Towards a hybrid software architecture and multi-agent approach for autonomous robot software

2017 ◽  
Vol 14 (4) ◽  
pp. 172988141771608 ◽  
Author(s):  
Shuo Yang ◽  
Xinjun Mao ◽  
Sen Yang ◽  
Zhe Liu
Keyword(s):  
Software Architecture ◽  
Autonomous Robots ◽  
Dynamic Environment ◽  
Dynamic Environments ◽  
Autonomous Robot ◽  
Multi Agent System ◽  
Development Framework ◽  
Multi Agent ◽  
Agent Development ◽  
Sense Model

To support robust plan execution of autonomous robots in dynamic environments, autonomous robot software should include adaptive and reactive capabilities to cope with the dynamics and uncertainties of the evolving states of real-world environments. However, conventional software architectures such as sense-model-plan-act and behaviour-based paradigms are inadequate for meeting the requirements. A lack of sensing during acting in the sense-model-plan-act paradigm makes the software slow to react to run-time contingencies, whereas the behaviour-based architectures typically fall short in planning of long-range steps and making optimized plan adaptations. This article proposes a hybrid software architecture that maintains both adaptivity and reactivity of robot behaviours in dynamic environments. To implement this architecture, we further present the multi-agent development framework known as AutoRobot, which views the robot software as a multi-agent system in which diverse agent roles collaborate to achieve software functionalities. To demonstrate the applicability and validity of our concrete framework and software architecture, we conduct an experiment to implement a typical case, for example, a robot that autonomously picks up and drops off dishes for remote guests, which requires the robot to plan and navigate in a highly dynamic environment and can adapt its behaviours to unexpected situations.

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