scholarly journals A protocol for multi-agent diagnosis with spatially distributed knowledge

2003 ◽  
Author(s):  
Nico Roos ◽  
Annette ten Teije ◽  
Cees Witteveen
Keyword(s):  
Distributed Knowledge ◽  
Spatially Distributed ◽  
Multi Agent

An Ontological Approach to Managing Project Memories in Organizations

2011 ◽  
pp. 233-261 ◽  
Author(s):  
Davy Monticolo ◽  
Vincent Hilaire ◽  
Samuel Gomes ◽  
Abderrafiaa Koukam
Keyword(s):  
Mechanical Design ◽  
Domain Ontology ◽  
Organizational Memory ◽  
Knowledge Modeling ◽  
Distributed Knowledge ◽  
Agent Model ◽  
Professional Activities ◽  
Ontological Approach ◽  
Multi Agent

Knowledge Management (KM) is considered by many organizations a key aspect in sustaining competitive advantage. In the mechanical design domain, the KM facilitates the design of routine product and brings a saving time for innovation. This chapter describes the specification of a project memory as an organizational memory to specify knowledge to capitalize all along project in order to be reuse. Afterwards it presents the design of a domain ontology and a multi agent system to manage project memories all along professional activities. As a matter of fact, these activities require that engineers, with different specialities, collaborate to carry out the same goal. Inside professional activities; they use their knowhow and knowledge in order to achieve the laid down goals. The professional actors competences and knowledge modeling allows the design and the description of agents’ know-how. Furthermore, the paper describes the design of our agent model based on an organisational approach and the role of a domain ontology called OntoDesign to manage heterogeneous and distributed knowledge.

A Multi-Agent Solution to Distributed Fault Diagnosis of Preheater Cement Cyclone

2016 ◽  
Vol 15 (04) ◽  
pp. 209-221 ◽  
Author(s):  
O. Chouhal ◽  
H. L. Mouss ◽  
K. Benaggoune ◽  
R. Mahdaoui
Keyword(s):  
Fault Diagnosis ◽  
Health Management ◽  
Engineering Systems ◽  
Distributed Approach ◽  
Development Framework ◽  
Diagnostic Agents ◽  
Spatially Distributed ◽  
Multi Agent ◽  
Systematic Solution ◽  
Diagnostic Agent

Systems health monitoring is essential to guaranteeing the safe, efficient, and reliable operation of engineering systems. Integrated systems health management methodologies include fault diagnosis mechanism. Diagnosis involves detecting when a fault has occurred, isolating the true fault, and identifying the true damage to the system. This important issue is even harder when the systems to be diagnosed are dynamic and spatially distributed systems with their successively increasing complexity. For such systems, a single diagnostic entity having a model of the whole system approach is inappropriate. Whereas a distributed approach of multiple diagnostic agents can offer a solution. An overall systematic solution for these issues could be obtained by an artificial intelligent mechanism called the multi-agent system (MAS). This paper presents a MAS model for fault diagnosis based on logical theory of diagnosis. In this approach, each local diagnostic agent has knowledge above its subsystem and an abstract view of the neighboring subsystems and it is able to determine the local minimal diagnoses that are consistent with global diagnoses. The multi-agent models are simulated in Java Agent Development Framework and are applied to the preheated cement cyclone in the workshop of SCIMAT clinker.

An Agent Approach to Manage Heterogeneous and Distributed Knowledge

2020 ◽  
Vol 10 (1) ◽  
pp. 27-48
Author(s):  
Davy Monticolo ◽  
Inaya Lahoud
Keyword(s):  
21St Century ◽  
Information Sources ◽  
Information Network ◽  
Multi Agent System ◽  
Agent System ◽  
Semantic Approach ◽  
Distributed Knowledge ◽  
Technical Report ◽  
Multi Agent ◽  
Heterogeneous Knowledge

Emphasis on knowledge and information is one of the challenges of the 21st century to differentiate the intelligent business enterprises. Enterprises have to develop their organization in order to capture, manage, and use information in a context of continually changing technology. Indeed, knowledge and information are completely distributed in the information network of the company. In addition, knowledge is, by nature, heterogeneous, since it is provided from different information sources like the software, the technical report, the meeting statements, etc. The authors present in this article the architecture of a multi-agent system, which allows the capitalization of the distributed and heterogeneous knowledge. They then present how the agents help business experts to design ontologies in detailing this problem and how the agents extract knowledge from different user databases by using a semantic approach.

An Ontological Approach to Managing Project Memories in Organizations

2009 ◽  
pp. 244-269 ◽  
Author(s):  
Davy Monticolo ◽  
Vincent Hilaire ◽  
Samuel Gomes ◽  
Abderrafiaa Koukam
Keyword(s):  
Mechanical Design ◽  
Domain Ontology ◽  
Organizational Memory ◽  
Knowledge Modeling ◽  
Distributed Knowledge ◽  
Agent Model ◽  
Professional Activities ◽  
Ontological Approach ◽  
Multi Agent

Knowledge Management (KM) is considered by many organizations a key aspect in sustaining competitive advantage. In the mechanical design domain, the KM facilitates the design of routine product and brings a saving time for innovation. This chapter describes the specification of a project memory as an organizational memory to specify knowledge to capitalize all along project in order to be reuse. Afterwards it presents the design of a domain ontology and a multi agent system to manage project memories all along professional activities. As a matter of fact, these activities require that engineers, with different specialities, collaborate to carry out the same goal. Inside professional activities; they use their knowhow and knowledge in order to achieve the laid down goals. The professional actors competences and knowledge modeling allows the design and the description of agents’ know-how. Furthermore, the paper describes the design of our agent model based on an organisational approach and the role of a domain ontology called OntoDesign to manage heterogeneous and distributed knowledge.

MASACAD

2009 ◽  
pp. 1118-1133
Author(s):  
Mohamed Salah Hamdi
Keyword(s):  
Main Idea ◽  
Information Space ◽  
The Internet ◽  
Global Information ◽  
Multi Agent System ◽  
Distributed Knowledge ◽  
Future Evolution ◽  
Multi Agent ◽  
Available Information ◽  
Information Customization

The evolution of the Internet into the Global Information Infrastructure has led to an explosion in the amount of available information. Realizing the vision of distributed knowledge access in this scenario and its future evolution will need tools to customize the information space. In this article we present MASACAD, a multi-agent system that learns to advise students and discuss important problems in relationship to information customization systems and smooth the way for possible solutions. The main idea is to approach information customization using a multi-agent paradigm.

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