Ontology, a mediator for agent-based modeling in social science

Agent-Based Models are useful for describing and understanding social, economic and spatial systems' dynamics. But, beside the facilities this methodology offers, evaluation and comparison of simulation models lead to some problems. A rigorous conceptual frame needs to be developed in order to ensure the coherence in the chain linking at one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. The aim is to reflect upon the role that a well defined ontology, based on the crossing of the philosophical and the computer science insights, can play for solving such questions and helping the model building. We analyze different conceptions of ontology, introduce the "ontological test" and show its usefulness to compare models. Then we focus on the model building and show the place of a systematic ABM ontology. At last the relation between emergence and ontology is developed.

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Main Authors: Livet, Pierre, Müller, Jean Pierre, Phan, Denis, Sanders, Lena
Format: conference_item biblioteca
Language:eng
Published: s.n.
Subjects:U10 - Informatique, mathématiques et statistiques, E50 - Sociologie rurale,
Online Access:http://agritrop.cirad.fr/547184/
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spelling dig-cirad-fr-5471842022-04-20T13:45:41Z http://agritrop.cirad.fr/547184/ http://agritrop.cirad.fr/547184/ Ontology, a mediator for agent-based modeling in social science. Livet Pierre, Müller Jean Pierre, Phan Denis, Sanders Lena. 2008. In : EPOS'08 : 3rd edition of Epistemological Perspectives on Simulation Workshop, october 2-3, 2008, Lisbon, Portugal. s.l. : s.n., 19 p. EPOS Workshop. 3, Lisbonne, Portugal, 2 Octobre 2008/3 Octobre 2008. Researchers Ontology, a mediator for agent-based modeling in social science Livet, Pierre Müller, Jean Pierre Phan, Denis Sanders, Lena eng 2008 s.n. EPOS'08 : 3rd edition of Epistemological Perspectives on Simulation Workshop, october 2-3, 2008, Lisbon, Portugal U10 - Informatique, mathématiques et statistiques E50 - Sociologie rurale Agent-Based Models are useful for describing and understanding social, economic and spatial systems' dynamics. But, beside the facilities this methodology offers, evaluation and comparison of simulation models lead to some problems. A rigorous conceptual frame needs to be developed in order to ensure the coherence in the chain linking at one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. The aim is to reflect upon the role that a well defined ontology, based on the crossing of the philosophical and the computer science insights, can play for solving such questions and helping the model building. We analyze different conceptions of ontology, introduce the "ontological test" and show its usefulness to compare models. Then we focus on the model building and show the place of a systematic ABM ontology. At last the relation between emergence and ontology is developed. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=193879
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
spellingShingle U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
Livet, Pierre
Müller, Jean Pierre
Phan, Denis
Sanders, Lena
Ontology, a mediator for agent-based modeling in social science
description Agent-Based Models are useful for describing and understanding social, economic and spatial systems' dynamics. But, beside the facilities this methodology offers, evaluation and comparison of simulation models lead to some problems. A rigorous conceptual frame needs to be developed in order to ensure the coherence in the chain linking at one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. The aim is to reflect upon the role that a well defined ontology, based on the crossing of the philosophical and the computer science insights, can play for solving such questions and helping the model building. We analyze different conceptions of ontology, introduce the "ontological test" and show its usefulness to compare models. Then we focus on the model building and show the place of a systematic ABM ontology. At last the relation between emergence and ontology is developed.
format conference_item
topic_facet U10 - Informatique, mathématiques et statistiques
E50 - Sociologie rurale
author Livet, Pierre
Müller, Jean Pierre
Phan, Denis
Sanders, Lena
author_facet Livet, Pierre
Müller, Jean Pierre
Phan, Denis
Sanders, Lena
author_sort Livet, Pierre
title Ontology, a mediator for agent-based modeling in social science
title_short Ontology, a mediator for agent-based modeling in social science
title_full Ontology, a mediator for agent-based modeling in social science
title_fullStr Ontology, a mediator for agent-based modeling in social science
title_full_unstemmed Ontology, a mediator for agent-based modeling in social science
title_sort ontology, a mediator for agent-based modeling in social science
publisher s.n.
url http://agritrop.cirad.fr/547184/
work_keys_str_mv AT livetpierre ontologyamediatorforagentbasedmodelinginsocialscience
AT mullerjeanpierre ontologyamediatorforagentbasedmodelinginsocialscience
AT phandenis ontologyamediatorforagentbasedmodelinginsocialscience
AT sanderslena ontologyamediatorforagentbasedmodelinginsocialscience
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