Ontology, a mediator for agent-based modeling in social science
Agent-Based Models are useful to describe and understand social, economic and spatial systems' dynamics. But, beside the facilities which this methodology offers, evaluation and comparison of simulation models are sometimes problematic. A rigorous conceptual frame needs to be developed. This is in order to ensure the coherence in the chain linking at the one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. This also systematizes the model design from the thematician conceptual framework as well. 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 to solve such questions and help 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. The latter process is situated within a larger framework called the 'knowledge framework' in which not only the ontologies but also the notions of theory, model and empirical data take place. At last the relation between emergence and ontology is discussed.
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Subjects: | U10 - Informatique, mathématiques et statistiques, U30 - Méthodes de recherche, sciences sociales, ontologie, application des ordinateurs, modèle de simulation, méthodologie, modélisation, http://aims.fao.org/aos/agrovoc/c_36390, http://aims.fao.org/aos/agrovoc/c_49845, http://aims.fao.org/aos/agrovoc/c_24009, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_12522, http://aims.fao.org/aos/agrovoc/c_230ab86c, |
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dig-cirad-fr-5540262024-01-28T18:13:54Z http://agritrop.cirad.fr/554026/ http://agritrop.cirad.fr/554026/ Ontology, a mediator for agent-based modeling in social science. Livet Pierre, Müller Jean Pierre, Phan Denis, Sanders Lena, Auatabu Titeem. 2010. Journal of Artificial Societies and Social Simulation, 13 (1), 14 p.https://doi.org/10.18564/jasss.1538 <https://doi.org/10.18564/jasss.1538> Ontology, a mediator for agent-based modeling in social science Livet, Pierre Müller, Jean Pierre Phan, Denis Sanders, Lena Auatabu, Titeem eng 2010 Journal of Artificial Societies and Social Simulation U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c Agent-Based Models are useful to describe and understand social, economic and spatial systems' dynamics. But, beside the facilities which this methodology offers, evaluation and comparison of simulation models are sometimes problematic. A rigorous conceptual frame needs to be developed. This is in order to ensure the coherence in the chain linking at the one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. This also systematizes the model design from the thematician conceptual framework as well. 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 to solve such questions and help 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. The latter process is situated within a larger framework called the 'knowledge framework' in which not only the ontologies but also the notions of theory, model and empirical data take place. At last the relation between emergence and ontology is discussed. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/554026/1/document_554026.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.18564/jasss.1538 10.18564/jasss.1538 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=207711 info:eu-repo/semantics/altIdentifier/doi/10.18564/jasss.1538 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.18564/jasss.1538 info:eu-repo/semantics/reference/purl/http://jasss.soc.surrey.ac.uk/13/1/3.html |
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U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c |
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U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c Livet, Pierre Müller, Jean Pierre Phan, Denis Sanders, Lena Auatabu, Titeem Ontology, a mediator for agent-based modeling in social science |
description |
Agent-Based Models are useful to describe and understand social, economic and spatial systems' dynamics. But, beside the facilities which this methodology offers, evaluation and comparison of simulation models are sometimes problematic. A rigorous conceptual frame needs to be developed. This is in order to ensure the coherence in the chain linking at the one extreme the scientist's hypotheses about the modeled phenomenon and at the other the structure of rules in the computer program. This also systematizes the model design from the thematician conceptual framework as well. 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 to solve such questions and help 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. The latter process is situated within a larger framework called the 'knowledge framework' in which not only the ontologies but also the notions of theory, model and empirical data take place. At last the relation between emergence and ontology is discussed. |
format |
article |
topic_facet |
U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche sciences sociales ontologie application des ordinateurs modèle de simulation méthodologie modélisation http://aims.fao.org/aos/agrovoc/c_36390 http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_12522 http://aims.fao.org/aos/agrovoc/c_230ab86c |
author |
Livet, Pierre Müller, Jean Pierre Phan, Denis Sanders, Lena Auatabu, Titeem |
author_facet |
Livet, Pierre Müller, Jean Pierre Phan, Denis Sanders, Lena Auatabu, Titeem |
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 |
url |
http://agritrop.cirad.fr/554026/ http://agritrop.cirad.fr/554026/1/document_554026.pdf |
work_keys_str_mv |
AT livetpierre ontologyamediatorforagentbasedmodelinginsocialscience AT mullerjeanpierre ontologyamediatorforagentbasedmodelinginsocialscience AT phandenis ontologyamediatorforagentbasedmodelinginsocialscience AT sanderslena ontologyamediatorforagentbasedmodelinginsocialscience AT auatabutiteem ontologyamediatorforagentbasedmodelinginsocialscience |
_version_ |
1792497533710237696 |