Knowledge-based multi-agent architecture for dynamic scheduling in manufacturing systems

2008 ◽  
Author(s):  
Munir Merdant ◽  
Pavel Vrba ◽  
Gottfried Koppensteiner ◽  
Alois Zoitl
Keyword(s):  
Manufacturing Systems ◽  
Dynamic Scheduling ◽  
Agent Architecture ◽  
Knowledge Based ◽  
Multi Agent

Multi-Agent Architecture for Knowledge-Driven Decision Support

2010 ◽  
pp. 28-46
Author(s):  
Rahul Singh
Keyword(s):  
Decision Support ◽  
Intelligent Agents ◽  
Agent Architecture ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Intelligent Software Agents ◽  
Intelligent Decision ◽  
Domain Specific Knowledge ◽  
Multi Agent

Organizations use knowledge-driven systems to deliver problem-specific knowledge over Internet-based distributed platforms to decision-makers. Increasingly, artificial intelligence (AI) techniques for knowledge representation are being used to deliver knowledge-driven decision support in multiple forms. In this chapter, we present an Architecture for knowledge-based decision support, delivered through a Multi-Agent Architecture. We illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create exchange and use knowledge to provide intelligent decision support. We show the integration of knowledge discovery techniques to create knowledge from organizational data; and knowledge repositories (KR) to store, manage and use data by intelligent software agents for effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

scholarly journals Supporting fault diagnosis through a multi-agent architecture

2002 ◽  
Vol 216 (4) ◽  
pp. 627-631 ◽  
Author(s):  
R Marzi ◽  
P John
Keyword(s):  
Machine Tools ◽  
Numerical Control ◽  
Cnc Machine Tools ◽  
Negative Consequences ◽  
Cnc Machine ◽  
Agent Architecture ◽  
Knowledge Based ◽  
Machine Operators ◽  
First Results ◽  
Multi Agent

In the industrial environment a short down-time of computer numerical control (CNC) machine tools is increasingly important. One approach to counter the loss of production is to make the machines more reliable, thereby reducing their times of non-use. Another is to enable machine operators to locate and to remove machine faults and their causes themselves, in order to reduce delay until maintenance staff is sent from a location far away. Operators may be supported in the fault-finding process by a knowledge-based decision-support system. The questions as to how to avoid the negative consequences of using such systems and how to even increase competence on the job is addressed by ComPASS, a system based on a multi-agent architecture. A running, functioning prototype was developed and evaluated. Based on this experience the system is currently being extended and improved, first results of which are presented here.

Multi-Agent Architecture for Knowledge-Driven Decision Support

2010 ◽  
pp. 433-451
Author(s):  
Rahul Singh
Keyword(s):  
Decision Support ◽  
Intelligent Agents ◽  
Agent Architecture ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Intelligent Software Agents ◽  
Intelligent Decision ◽  
Domain Specific Knowledge ◽  
Multi Agent

Organizations use knowledge-driven systems to deliver problem-specific knowledge over Internet-based distributed platforms to decision-makers. Increasingly, artificial intelligence (AI) techniques for knowledge representation are being used to deliver knowledge-driven decision support in multiple forms. In this chapter, we present an Architecture for knowledge-based decision support, delivered through a Multi-Agent Architecture. We illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create exchange and use knowledge to provide intelligent decision support. We show the integration of knowledge discovery techniques to create knowledge from organizational data; and knowledge repositories (KR) to store, manage and use data by intelligent software agents for effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

An Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces

2011 ◽  
pp. 76-97
Author(s):  
Rahul Singh ◽  
Lakshmi Iyer ◽  
Al Salam
Keyword(s):  
Knowledge Management ◽  
Intelligent Agents ◽  
Collaborative Work ◽  
Supply And Demand ◽  
Agent Architecture ◽  
Business Partners ◽  
Knowledge Based ◽  
Intelligent Knowledge Management ◽  
Demand Information ◽  
Multi Agent

This chapter presents an Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces. IKMAC is built upon existing bodies of knowledge in intelligent agents, knowledge management, e-business, XML, and web service standards. This chapter focuses on the translation of data, information, and knowledge into XML documents by software agents, thereby creating the foundation for knowledge representation and exchange by intelligent agents that support collaborative work between business partners. The realization of the proposed architecture is explained through an infomediary-based e-Marketplace prototype in which agents facilitate collaboration by exchanging their knowledge using XML and related sets of standards. Use of such systems will provide collaborating partners with intelligent knowledge management (KM) capabilities for seamless and transparent exchange of dynamic supply and demand information.

An Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces

2011 ◽  
pp. 698-713
Author(s):  
Rahul Singh ◽  
Lakshmi Iyer ◽  
Al Salam
Keyword(s):  
Knowledge Management ◽  
Intelligent Agents ◽  
Collaborative Work ◽  
Supply And Demand ◽  
Agent Architecture ◽  
Business Partners ◽  
Knowledge Based ◽  
Intelligent Knowledge Management ◽  
Demand Information ◽  
Multi Agent

This chapter presents an Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces. IKMAC is built upon existing bodies of knowledge in intelligent agents, knowledge management, e-business, XML, and web service standards. This chapter focuses on the translation of data, information, and knowledge into XML documents by software agents, thereby creating the foundation for knowledge representation and exchange by intelligent agents that support collaborative work between business partners. The realization of the proposed architecture is explained through an infomediary-based e-Marketplace prototype in which agents facilitate collaboration by exchanging their knowledge using XML and related sets of standards. Use of such systems will provide collaborating partners with intelligent knowledge management (KM) capabilities for seamless and transparent exchange of dynamic supply and demand information.

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