Modeling the Evolution of Companies using Intelligent Software Agents Architecture

The paper presents the concept of multi agent system that models the evolution of a company. The opportunity of such an approach and the limits of mathematical modeling are presented. The main players on the market are modeled as cognitive, adaptive, heterogeneous agents and evolve in a dynamic envi...

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Main Authors: Cristina ZAMFIR, Cornelia NOVAC UDUDEC
Format: Article
Language:English
Published: Dunarea de Jos University of Galati 2010-08-01
Series:Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
Subjects:
Online Access:http://www.ann.ugal.ro/eco/Doc2010/NovacUdudec_Zamfir.pdf
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author Cristina ZAMFIR
Cornelia NOVAC UDUDEC
author_facet Cristina ZAMFIR
Cornelia NOVAC UDUDEC
author_sort Cristina ZAMFIR
collection DOAJ
description The paper presents the concept of multi agent system that models the evolution of a company. The opportunity of such an approach and the limits of mathematical modeling are presented. The main players on the market are modeled as cognitive, adaptive, heterogeneous agents and evolve in a dynamic environment. The purpose is to use themodel of operational agent that has these characteristics. This model is based on using an ATN (Augmented Transition Network) to adapt the behavior of its agent to the changes it detects in its environment. Each agent has an inference mechanism for the first order reasoning. The agents communicate between them through messages and willbe implemented in a non synchronized object environment.
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spelling doaj.art-742faa3db2d94c4cab3b0a3ebeac61a72022-12-22T03:16:13ZengDunarea de Jos University of GalatiAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics1584-04092010-08-011145152Modeling the Evolution of Companies using Intelligent Software Agents ArchitectureCristina ZAMFIRCornelia NOVAC UDUDECThe paper presents the concept of multi agent system that models the evolution of a company. The opportunity of such an approach and the limits of mathematical modeling are presented. The main players on the market are modeled as cognitive, adaptive, heterogeneous agents and evolve in a dynamic environment. The purpose is to use themodel of operational agent that has these characteristics. This model is based on using an ATN (Augmented Transition Network) to adapt the behavior of its agent to the changes it detects in its environment. Each agent has an inference mechanism for the first order reasoning. The agents communicate between them through messages and willbe implemented in a non synchronized object environment.http://www.ann.ugal.ro/eco/Doc2010/NovacUdudec_Zamfir.pdfmultiagent systemeconomic modeldiscret events
spellingShingle Cristina ZAMFIR
Cornelia NOVAC UDUDEC
Modeling the Evolution of Companies using Intelligent Software Agents Architecture
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
multiagent system
economic model
discret events
title Modeling the Evolution of Companies using Intelligent Software Agents Architecture
title_full Modeling the Evolution of Companies using Intelligent Software Agents Architecture
title_fullStr Modeling the Evolution of Companies using Intelligent Software Agents Architecture
title_full_unstemmed Modeling the Evolution of Companies using Intelligent Software Agents Architecture
title_short Modeling the Evolution of Companies using Intelligent Software Agents Architecture
title_sort modeling the evolution of companies using intelligent software agents architecture
topic multiagent system
economic model
discret events
url http://www.ann.ugal.ro/eco/Doc2010/NovacUdudec_Zamfir.pdf
work_keys_str_mv AT cristinazamfir modelingtheevolutionofcompaniesusingintelligentsoftwareagentsarchitecture
AT cornelianovacududec modelingtheevolutionofcompaniesusingintelligentsoftwareagentsarchitecture