Reasoning Method of Situation Information System Based on Multi-Agent Network

2019 ◽  
Author(s):  
Siyuan Wang ◽  
Gang Wang
Keyword(s):  
Information System ◽  
Multi Agent

The use of intelligent agents in modeling an integrated information system of transport logistics

2020 ◽  
Vol 5 ◽  
pp. 59-66
Author(s):  
Y.M. Iskanderov ◽  
Keyword(s):  
Information System ◽  
Supply Chains ◽  
Intelligent Agents ◽  
Technological Processes ◽  
Transport Services ◽  
Wide Range ◽  
Integrated Information System ◽  
Multi Agent ◽  
Transport Logistics ◽  
Integrated Information

Aim. The use of intelligent agents in modeling an integrated information system of transport logistics makes it possible to achieve a qualitatively new level of design of control systems in supply chains. Materials and methods. The article presents an original approach that implements the possibilities of using multi-agent technologies in the interests of modeling the processes of functioning of an integrated information system of transport logistics. It is shown that the multi-agent infrastructure is actually a semantic shell of the information system, refl ecting the rules of doing business and the interaction of its participants in the supply chains. The characteristic of the model of the class of an intelligent agent, which is basic for solving problems of management of transport and technological processes, is given. Results. The procedures of functioning of the model of integration of information resources of the participants of the transport services market on the basis of intelligent agents are considered. The presented procedures provide a wide range of network interaction operations in supply chains, including traffi c and network structure “fl exible” control, mutual exchange of content and service information, as well as their distributed processing, and information security. Conclusions. The proposed approach showed that the use of intelligent agents in modeling the functioning of an integrated information system makes it possible to take into account the peculiarities of transport and technological processes in supply chains, such as the integration of heterogeneous enterprises, their distributed organization, an open dynamic structure, standardization of products, interfaces and protocols.

A Simulation Approach for Analyzing MAS Model of SIS

2012 ◽  
Vol 468-471 ◽  
pp. 173-180
Author(s):  
Yi Ning Song ◽  
Zhi Li
Keyword(s):  
Information System ◽  
Modeling And Simulation ◽  
Longitudinal Analysis ◽  
Satellite System ◽  
Model Structure ◽  
Multi Agent System ◽  
Simulation Approach ◽  
Agent System ◽  
Agent Model ◽  
Multi Agent

The purpose of this paper is to explore the effective approach of Multi-Agent system(MAS) modeling and simulation. A detailed study of modeling and simulation of Space Information System has been carried out by combining controlled and intelligent requirements. To begin with we will provide a brief background on the Multi-Agent System concept and structure. Furthermore, grasp the model structure through vertical and longitudinal analysis with the consideration of emergence and collaboration. In addition, we described the Multi-agent model for Space Information System(SIS). Finally, algorithms of realizing the collaboration structures of the communication satellite system that presented in this paper were described.

Engineering Adaptive Multi-Agent Systems

2011 ◽  
pp. 513-535
Author(s):  
Carole Bernon ◽  
Valérie Camps ◽  
Marie-Pierre Gleizes ◽  
Gauthier Picard
Keyword(s):  
Information System ◽  
Theoretical Background ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Third ◽  
Multi Agent

This chapter introduces the ADELFE methodology, an agent-oriented methodology dedicated to the design of systems that are complex, open, and not well-specified. The need for its development is justified by the theoretical background given in the first section, which also gives an overview of the concepts on which multi-agent systems developed with ADELFE are based. A methodology is composed of a process, a notation, and tools. Tools are presented in the second section and the process in the third one, using an information system case study to better visualize how to apply this process.

Multi-Agent System for Web-Based Customization

2011 ◽  
pp. 811-816
Author(s):  
Thorsten Blecker ◽  
Nizar Abdelkafi
Keyword(s):  
Information System ◽  
Business Model ◽  
Product Variety ◽  
Product Configuration ◽  
Main Task ◽  
Product Knowledge ◽  
Limited Information ◽  
Web Based ◽  
Common Information ◽  
Multi Agent

Web-based customization refers to an e-commerce business model whereby customers can individualize their products via the electronic channel. The success of this business model to a great extent depends on the appropriateness of the information system, which supports online interaction between customer and supplier (Franke & Piller, 2003). For example, computer manufacturers offering their products online enable customers to select the type of components to be built in the final product (e.g., type of processor, motherboards, graphic and sound cards, etc.). This type of interaction is referred to as Web-based product configuration. In order to increase the chances that customers find suitable products, Web-based customization offers large variety. However, due to the limited information processing capacity of humans and lack of technical product knowledge, excessive product variety confuses customers (Piller, Koch, Moeslein, & Schubert, 2003). It triggers decision-making difficulties and uncertainty concerning the suitability of choices. In effect, customers are generally unaware of their needs and not capable of making optimal buying decisions. Furthermore, the support provided by common information systems is more consistency check than real assistance, since their main task is to verify the compatibility of components between each other. On the other hand, the resulting variety brings about an increasing complexity of operations and manufacturing-related tasks on the supplier’s side. The complexity that is perceived by customers during the interaction process is called “external complexity,” whereas complexity that is experienced inside manufacturing and operations is referred to as “internal complexity.” Therefore, a suitable information system that supports Web-based customization should simultaneously address both challenges. It should provide customers with appropriate assistance during the search for adequate products and support suppliers in managing variety. In the following, an information system that is capable of coping with both types of complexity will be developed.

Ontology and Terminology Servers in Agent-based Health-care Information Systems

1997 ◽  
Vol 36 (01) ◽  
pp. 30-43 ◽  
Author(s):  
G. Lanzola ◽  
M. Stefanelli ◽  
S. Falasconi
Keyword(s):  
Health Care ◽  
Information System ◽  
Distributed Applications ◽  
Multi Agent System ◽  
Health Care Information ◽  
Agent System ◽  
Semantic Coherence ◽  
Architectural Framework ◽  
Care Information ◽  
Multi Agent

Abstract:A new research paradigm is emerging based on the multi-agent system architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. Within a multi-agent system, the different “views of the world” of knowledgeable agents are to be bridged through their commitment to common ontologies and terminologies. We developed a general methodology for the design or integration of new components into a Health-care Information System conceived as a network of software and human agents. In our view, ontological and terminological services are entrusted to dedicated agents, namely ontology and terminology servers, allowing the configuration of suitable application ontologies for distributed applications. The role is described that such servers, operatively coordinated in order to preserve semantic coherence, should play within a distributed Health-care Information System.

scholarly journals A Traveller Information System: Minimisation of the Number of Graphs’ Nodes Involved When Processing Route Requests

2014 ◽  
Vol 15 (4) ◽  
pp. 280-291 ◽  
Author(s):  
Zakaria Bendaoud ◽  
Karim Bouamrane
Keyword(s):  
Information System ◽  
Information Systems ◽  
Public Transport ◽  
Processing Route ◽  
Multi Agent System ◽  
Agent System ◽  
Multimodal Information ◽  
Calculation Process ◽  
Multi Agent ◽  
Voronoi Decomposition

Abstract The number of people using public transport is continuously increasing. Transport companies want to fulfil travellers’ expectations wherever possible. However, the great number of public transport companies operating in the same area can sometimes confuse travellers as to which route they should take and how to obtain the information relative to their journey. In this paper we suggest integrating several traveller information systems from different companies into the same multimodal information system, offering companies the choice not to share their data. This encourages them to join the system. Additionally, we have minimised the number of nodes involved when processing travellers’ requests in order to simplify the calculation process. To put our plan into action, we have opted for a multi-agent system coupled with the Voronoi decomposition for managing the network.

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