Research on Network Examination System Model Based on Multi-AGENT

With the development of artificial intelligence, Multi-agent technology is applied more and more in reality. In line with multi-user intelligent network examination test system, this paper proposes multi-agent-based general examination system model constituted by multiple mutually independent but collaborated AGENTs. In addition to fulfill their respective responsibilities, every single sub-Agent communicates among each other to gain information and complete missions in a collaborative form. Also, dedicated data mining AGENT is deployed in the system to conduct intelligent analysis and processing on various data, thereby providing decision support for teachers’ teaching and student’s study duties. And this paper presents a new clue for establishing intelligent network examination system under distributed environment.

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The Study on the Multiple Agent-Based Independent and Collaborative Intelligent Tutoring System Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.1885 ◽

2013 ◽

Vol 846-847 ◽

pp. 1885-1888

Author(s):

Jian Hua Wang ◽

Yan Yu ◽

Jun Jie Guo

Keyword(s):

Intelligent Tutoring ◽

Intelligent Tutoring System ◽

University Teaching ◽

System Model ◽

Computer Assisted ◽

Intelligent Network ◽

Tutoring System ◽

Agent Based ◽

Multiple Agent ◽

Multi Agent

Over the years, the traditional computer-assisted teaching can not meet the needs of university teaching, the traditional teaching system software, most of the existence of low intelligence, lack of teaching strategies and other shortcomings.Multi-AGENT technology and intelligent tutoring systems is the current research focus in computer intelligence education. Integrating multi-Agent features and multi-Agent application theories in ITS, this paper proposes a multiple Agent-based intelligent network tutoring system design model, detailedly analyzes the functions of each layer in the system, and presents system database category design and system model features.

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Financing risk control system model of real estate development enterprise based on Multi-Agent technology

2012 4th Electronic System-Integration Technology Conference ◽

10.1109/estc.2012.6485675 ◽

2012 ◽

Author(s):

Suhong Li ◽

Liwen Chen ◽

Zibiao Li

Keyword(s):

Control System ◽

Real Estate ◽

Risk Control ◽

System Model ◽

Agent Technology ◽

Real Estate Development ◽

Financing Risk ◽

Multi Agent ◽

Control System Model

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Research on Product Modeling Method for Supporting the Networked Manufacturing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.88-89.723 ◽

2011 ◽

Vol 88-89 ◽

pp. 723-729

Author(s):

Guo Hong Mao ◽

Jian Pan ◽

Lan Fen Lin

Keyword(s):

Web Service ◽

New Product ◽

Modeling Method ◽

Agent Technology ◽

Networked Manufacturing ◽

Product Modeling ◽

Agent Based ◽

Multi Agent ◽

Domain Models ◽

Master Model

This paper introduces a new product modeling method: MAPMNM(Multi-Agent Based Product Modeling for Networked Manufacturing) based on analysing the requirements of product modeling. The method offers a unified product master model and distributed domain models to alliance enterprise based on network by using web service and the agent technology of AI domain. Firstly, the paper gives the framework of the MAPMNM.Secondly, it elaborates on the web services, the architecture and running menchanism of the domain agent in MAPMNM.

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Research on Fault Diagnosis for Power Transmission Based on Mass Data Mining

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.271-272.1623 ◽

2012 ◽

Vol 271-272 ◽

pp. 1623-1627

Author(s):

Xiao Yan Sun ◽

Long Li ◽

Ping Ping Liu

Keyword(s):

Fault Diagnosis ◽

Data Warehouse ◽

Power Transmission ◽

Agent Technology ◽

Agent Based ◽

Intelligent Decision ◽

Decision Supporting ◽

Decision Supporting System ◽

Multi Agent ◽

Fault Diagnosis System

A Multi-Agent based transmission fault diagnosis system is researched in this paper. Many data digging analysis methods are employed, combined with data warehouse, OLAP and Multi-Agent technology. An intelligent decision supporting system for monitoring transmission network data is built. Data digging method is used to intelligently analyze and process fault data in the data warehouse, and Agent technology is used to realize data collection, pretreatment, inquiry, knowledge Automatic extraction, mining and other functions, which makes the whole mining process intellectual and intelligent. It aids transmission management with decision-making, thus to make the monitoring and repair of power grid fault more timely and accurate.

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Agent-¬based matching of demands and supplies in business transaction formation

Agent Systems in Electronic Business ◽

10.4018/978-1-59904-588-7.ch004 ◽

2011 ◽

pp. 58-77

Author(s):

Raymund J. Lin ◽

Seng-Cho T. Chou

Keyword(s):

Game Theory ◽

Mechanism Design ◽

Agent Technology ◽

Heuristic Methods ◽

Future Trends ◽

Multi Agent Systems ◽

Agent Based ◽

Agent Systems ◽

Business Transaction ◽

Multi Agent

The theme of this chapter includes topics of matching, auction and negotiation. We have shown that the knowledge of game theory is very important when designing an agent-based matching or negotiation system. The problem of bounded rationality in multi¬-agent systems is also discussed; we put forward the mechanism design and heuristic methods as solutions. A real negotiation scenario is presented to demonstrate our proposed solutions. In addition, we discuss the future trends of the agent technology in e¬commerce system.

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Research Summary of Dispatching System Based on Multi-Agent Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.462-463.217 ◽

2013 ◽

Vol 462-463 ◽

pp. 217-224

Author(s):

Kai Ji Yu ◽

Zhong Li Yang ◽

You Yang

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

System Model ◽

Agent Technology ◽

Intelligent Decision Support System ◽

Intelligent Decision ◽

Multi Agent ◽

Power Dispatching ◽

Intelligent Decision Support

The demerits and current demand of the traditional decision support system (DSS) for power dispatching are analyzed,and the advantages of incorporating the agent technology and the intelligent decision support system (IDSS) are expatiated in detail. A new intelligent decision system model is put forward consequently and the models framework is also given. An example of the integration of three existed expert systems for power system dispatching management into one MAS is given,and the cooperation activities between the agents are described.

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The Implementation of Computer Platform for Foundries Cooperating in a Supply Chain

Archives of Foundry Engineering ◽

10.2478/afe-2014-0073 ◽

2014 ◽

Vol 14 (3) ◽

pp. 111-116

Author(s):

D. Wilk-Kołodziejczyk ◽

S. Kluska-Nawarecka ◽

G. Rojek ◽

K. Regulski

Keyword(s):

Distributed Processing ◽

Scientific Work ◽

Agent Technology ◽

Decision Making Process ◽

System Specification ◽

Agent Based ◽

Joint Management ◽

Theoretical System ◽

Functional Aspects ◽

Multi Agent

Abstract This article presents a practical solution in the form of implementation of agent-based platform for the management of contracts in a network of foundries. The described implementation is a continuation of earlier scientific work in the field of design and theoretical system specification for cooperating companies [1]. The implementation addresses key design assumptions - the system is implemented using multi-agent technology, which offers the possibility of decentralisation and distributed processing of specified contracts and tenders. The implemented system enables the joint management of orders for a network of small and medium-sized metallurgical plants, while providing them with greater competitiveness and the ability to carry out large procurements. The article presents the functional aspects of the system - the user interface and the principle of operation of individual agents that represent businesses seeking potential suppliers or recipients of services and products. Additionally, the system is equipped with a bi-directional agent translating standards based on ontologies, which aims to automate the decision-making process during tender specifications as a response to the request.

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Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

10.36227/techrxiv.12117672 ◽

2020 ◽

Author(s):

Dhouha Ben Noureddine ◽

Moez Krichen ◽

Seifeddine Mechti ◽

Tarik Nahhal ◽

Wilfried Yves Hamilton Adoni

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Agent Technology ◽

Smart Manufacturing ◽

The Internet ◽

Agent Based ◽

Multi Agent ◽

Iot Devices ◽

Future Work ◽

Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

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An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

Research Methods ◽

10.4018/978-1-4666-7456-1.ch023 ◽

2015 ◽

pp. 482-502

Author(s):

Masoomeh Moradi ◽

Abdollah Aghaie ◽

Monireh Hosseini

Keyword(s):

Decision Making ◽

Knowledge Management ◽

Business Environment ◽

Marketing Mix ◽

Agent Technology ◽

Multi Agent System ◽

Agent System ◽

Management Framework ◽

Agent Based ◽

Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

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