The Conceptual Model of the Multi-Agent System for Formation of the Descriptions of Local Security Threats to RF Subjects

2004 ◽  
Vol 62 (1-6) ◽  
pp. 1-8
Author(s):  
Ivan S. Zakharov ◽  
A. T. Mirgaleev ◽  
S. P. Yushchenko
Keyword(s):  
Conceptual Model ◽  
Security Threats ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Conceptual Model Based on Normative Multi-Agent System for Supply Chain Integration of Brazilian Gypsum LPA

2021 ◽  
Vol 13 (4) ◽  
pp. 1-16
Author(s):  
Thárcylla Rebecca Negreiros Clemente ◽  
Aldênia Karla Barrêto Candido
Keyword(s):  
Supply Chain ◽  
Conceptual Model ◽  
Supply Chain Integration ◽  
Multi Agent System ◽  
Agent System ◽  
Model Based ◽  
Dynamic View ◽  
The World ◽  
Multi Agent ◽  
Strategic Context

The Brazilian gypsum has one of the highest levels of recognized mineral qualities in the world. Companies that operate in this sector support major economy-driving industries such as civil construction, architecture, medicine, and agriculture and are an input for the manufacture of paints, phosphors, and insecticides, among others. Most of the companies that constitute this sector are small and medium-sized enterprises (SMEs), which require supply chain solutions to maintain competition in market share. Supply chain integration as a collaborative solution has become a necessary strategy for enhancing SMEs decision-making capability. This study proposes a conceptual model based on a normative multi-agent system approach that offers a dynamic view about supply chain integration for managers and other stakeholders. From this contribution, it is possible to obtain constant information flow among stakeholders and build an effective strategic context for SMEs in the Brazilian Gypsum Local Productive Arrangement (LPA).

Conceptual model for knowledge discovery process in databases based on multi-agent system

2016 ◽  
Vol 46 (2) ◽  
pp. 207-231 ◽  
Author(s):  
Alireza Jahani ◽  
Peyman Akhavan ◽  
Mostafa Jafari ◽  
Mohammad Fathian
Keyword(s):  
Knowledge Discovery ◽  
Conceptual Model ◽  
Knowledge Discovery In Databases ◽  
Suitable Model ◽  
Multi Agent System ◽  
Agent System ◽  
Content Type ◽  
Industrial Sectors ◽  
Proposed Model ◽  
Multi Agent

Purpose Knowledge discovery in databases (KDD) is a tedious and repetitive process. A challenge for the effective use of KDD is understanding and confirming its results derived from the harmonized process. To exploit the advantages of agents’ application, this paper aims to propose a conceptual model based on a multi-agent system (MAS) to control each step of the KDD process. Design/methodology/approach This paper reports the empirical findings of a survey conducted among academic and industrial sectors in Tehran, Iran. In this survey, the participants answered a questionnaire about the main factors of designing a suitable model for the KDD process based on MAS. The factor analysis reveals important insights of previous models developed by various researchers. Findings This research uses the survey results to find six critical success factors, continuity in refinement and improvement; learning and acting concurrently; loosely or tightly coupled approach for using technologies; cooperative, dynamic and flexible environment; documentation and reporting; and extracting and evaluating knowledge intelligently, for a proper conceptual model of the KDD process based on MAS. Research limitations/implications The proposed model reflects all aspects of the KDD process by applying the intelligent agents for each process steps. In addition, this research only considers the Iran society; hence, it cannot be generalized to other nations, and it may need further research in other countries and to be implemented in real-world business domains. Originality/value This research helps organizations to adopt a proposed model and implement a KDD process to advantage the valuable knowledge that exists in their data resources.

scholarly journals Pattern-Oriented Design for Multi-Agent System: A Conceptual Model.

2007 ◽  
Vol 6 (4) ◽  
pp. 55
Author(s):  
Radziah Mohamad ◽  
Safaai Deris ◽  
Hany H. Ammar
Keyword(s):  
Conceptual Model ◽  
Multi Agent System ◽  
Agent System ◽  
System A ◽  
Multi Agent
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