A Multi-agent System for Knowledge Management in Software Maintenance

2003 ◽  
pp. 415-421 ◽  
Author(s):  
Aurora Vizcaino ◽  
Jesús Favela ◽  
Mario Piattini
Keyword(s):  
Knowledge Management ◽  
Software Maintenance ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

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

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.

A HYBRID BAYESIAN NETWORK-BASED MULTI-AGENT SYSTEM AND A DISTRIBUTED SYSTEMS ARCHITECTURE FOR THE DRUG CRIME KNOWLEDGE MANAGEMENT

2003 ◽  
Vol 02 (04) ◽  
pp. 557-576 ◽  
Author(s):  
PARAG C. PENDHARKAR ◽  
RAHUL BHASKAR
Keyword(s):  
Knowledge Management ◽  
Bayesian Network ◽  
Current System ◽  
Distributed Artificial Intelligence ◽  
Multi Agent System ◽  
Agent System ◽  
Systems Architecture ◽  
Drug Crime ◽  
Efficiency And Effectiveness ◽  
Multi Agent

In this paper, we describe an approach for building a hybrid Bayesian network-based multi-agent system for drug crime knowledge management. We use distributed artificial intelligence architecture to create a multi-agent information system that integrates distributed knowledge sources and information to aid decision-making. Our comparison of the hybrid system with a previously developed stand-alone expert system Sherpa, which was in use at a large drug crime investigation facility, shows that the current system compares similar to the existing system in terms of efficiency and effectiveness of knowledge management. We illustrate how the proposed hybrid bayesian network-based can be implemented in the distributed computing network environment.

OCEAN: A multi agent system dedicated to knowledge management

2020 ◽  
Vol 17 ◽  
pp. 100124 ◽  
Author(s):  
Davy Monticolo ◽  
Inaya Lahoud ◽  
Pedro Chavez Barrios
Keyword(s):  
Knowledge Management ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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