Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population

Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models prop...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of computer science issues 2011-09, Vol.8 (5), p.170-170
Hauptverfasser: Guerram, Tahar, Dehimi, Nour El Houda
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 170
container_issue 5
container_start_page 170
container_title International journal of computer science issues
container_volume 8
creator Guerram, Tahar
Dehimi, Nour El Houda
description Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models proposed for the study of population dynamics which have major advantages compared to the aggregate models. The present paper presents a multi agent based framework for the simulation of the impact of viral infections on a population of cows which may be modern (only females) or mixed. This simulation creates an artificial life [2] [3] which will make it possible to the user to feel in a virtual laboratory and will facilitate to him the forecasts of the impact of viral infections on the evolution of the targeted population..
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671422335</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1671422335</sourcerecordid><originalsourceid>FETCH-LOGICAL-p935-63a2d27563debd60afd906ac069e1c8c42f6c589e605391bea5c02d22e13e473</originalsourceid><addsrcrecordid>eNqFkD1PwzAURSMEElXpf3hiYonk78RsVUUBqYihMFeu80zdpnaIk1b8e1JRFhbecu9w7hneRTaiSoucFKW4_O0lFdfZJKUtGU5IRVU5ynYvfd15MB8YOlj6fV-bzsdwD1N4D955rGDemj0eY7sDF1voNggmmPor-QTRwcG3pgYfHNrTMMHRdxsfwMA6HnxAaGJzlt5kV87UCSfnHGfL-cPb7ClfvD4-z6aLvNFc5oobVrFCKl7hulLEuEoTZSxRGqktrWBOWVlqVERyTddopCXDgiHlKAo-zu5-rE0bP3tM3Wrvk8W6NgFjn1ZUFVQwxrn8HyVUUKIFZQN6-wfdxr4d_pBWmjDKSj4ovwGbGXFQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>902128322</pqid></control><display><type>article</type><title>Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Guerram, Tahar ; Dehimi, Nour El Houda</creator><creatorcontrib>Guerram, Tahar ; Dehimi, Nour El Houda</creatorcontrib><description>Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models proposed for the study of population dynamics which have major advantages compared to the aggregate models. The present paper presents a multi agent based framework for the simulation of the impact of viral infections on a population of cows which may be modern (only females) or mixed. This simulation creates an artificial life [2] [3] which will make it possible to the user to feel in a virtual laboratory and will facilitate to him the forecasts of the impact of viral infections on the evolution of the targeted population..</description><identifier>ISSN: 1694-0814</identifier><identifier>EISSN: 1694-0784</identifier><language>eng</language><publisher>Mahebourg: International Journal of Computer Science Issues (IJCSI)</publisher><subject>Computer science ; Computer simulation ; Dynamic tests ; Dynamical systems ; Dynamics ; Evolution ; Expert systems ; Mathematical models ; Multiagent systems</subject><ispartof>International journal of computer science issues, 2011-09, Vol.8 (5), p.170-170</ispartof><rights>Copyright International Journal of Computer Science Issues (IJCSI) Sep 2011</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Guerram, Tahar</creatorcontrib><creatorcontrib>Dehimi, Nour El Houda</creatorcontrib><title>Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population</title><title>International journal of computer science issues</title><description>Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models proposed for the study of population dynamics which have major advantages compared to the aggregate models. The present paper presents a multi agent based framework for the simulation of the impact of viral infections on a population of cows which may be modern (only females) or mixed. This simulation creates an artificial life [2] [3] which will make it possible to the user to feel in a virtual laboratory and will facilitate to him the forecasts of the impact of viral infections on the evolution of the targeted population..</description><subject>Computer science</subject><subject>Computer simulation</subject><subject>Dynamic tests</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Evolution</subject><subject>Expert systems</subject><subject>Mathematical models</subject><subject>Multiagent systems</subject><issn>1694-0814</issn><issn>1694-0784</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkD1PwzAURSMEElXpf3hiYonk78RsVUUBqYihMFeu80zdpnaIk1b8e1JRFhbecu9w7hneRTaiSoucFKW4_O0lFdfZJKUtGU5IRVU5ynYvfd15MB8YOlj6fV-bzsdwD1N4D955rGDemj0eY7sDF1voNggmmPor-QTRwcG3pgYfHNrTMMHRdxsfwMA6HnxAaGJzlt5kV87UCSfnHGfL-cPb7ClfvD4-z6aLvNFc5oobVrFCKl7hulLEuEoTZSxRGqktrWBOWVlqVERyTddopCXDgiHlKAo-zu5-rE0bP3tM3Wrvk8W6NgFjn1ZUFVQwxrn8HyVUUKIFZQN6-wfdxr4d_pBWmjDKSj4ovwGbGXFQ</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Guerram, Tahar</creator><creator>Dehimi, Nour El Houda</creator><general>International Journal of Computer Science Issues (IJCSI)</general><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KB.</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7U9</scope><scope>H94</scope></search><sort><creationdate>20110901</creationdate><title>Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population</title><author>Guerram, Tahar ; Dehimi, Nour El Houda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p935-63a2d27563debd60afd906ac069e1c8c42f6c589e605391bea5c02d22e13e473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Computer science</topic><topic>Computer simulation</topic><topic>Dynamic tests</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Evolution</topic><topic>Expert systems</topic><topic>Mathematical models</topic><topic>Multiagent systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Guerram, Tahar</creatorcontrib><creatorcontrib>Dehimi, Nour El Houda</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Materials Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>International journal of computer science issues</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guerram, Tahar</au><au>Dehimi, Nour El Houda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population</atitle><jtitle>International journal of computer science issues</jtitle><date>2011-09-01</date><risdate>2011</risdate><volume>8</volume><issue>5</issue><spage>170</spage><epage>170</epage><pages>170-170</pages><issn>1694-0814</issn><eissn>1694-0784</eissn><abstract>Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models proposed for the study of population dynamics which have major advantages compared to the aggregate models. The present paper presents a multi agent based framework for the simulation of the impact of viral infections on a population of cows which may be modern (only females) or mixed. This simulation creates an artificial life [2] [3] which will make it possible to the user to feel in a virtual laboratory and will facilitate to him the forecasts of the impact of viral infections on the evolution of the targeted population..</abstract><cop>Mahebourg</cop><pub>International Journal of Computer Science Issues (IJCSI)</pub><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1694-0814
ispartof International journal of computer science issues, 2011-09, Vol.8 (5), p.170-170
issn 1694-0814
1694-0784
language eng
recordid cdi_proquest_miscellaneous_1671422335
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Computer science
Computer simulation
Dynamic tests
Dynamical systems
Dynamics
Evolution
Expert systems
Mathematical models
Multiagent systems
title Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T14%3A51%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multi%20agent%20Simulation:%20A%20Unified%20Framework%20for%20the%20analysis%20of%20viral%20infections%20within%20a%20bovine%20population&rft.jtitle=International%20journal%20of%20computer%20science%20issues&rft.au=Guerram,%20Tahar&rft.date=2011-09-01&rft.volume=8&rft.issue=5&rft.spage=170&rft.epage=170&rft.pages=170-170&rft.issn=1694-0814&rft.eissn=1694-0784&rft_id=info:doi/&rft_dat=%3Cproquest%3E1671422335%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=902128322&rft_id=info:pmid/&rfr_iscdi=true