Why do we need Ontology for Agent-Based Models? - HAL Accéder directement au contenu
Chapitre d'ouvrage Année : 2008

Why do we need Ontology for Agent-Based Models?

Résumé

The aim of this paper is to stress some ontological and methodological issues for Agent-Based Model (ABM) building, exploration, and evaluation in the Social and Human Sciences. Two particular domain of interest are to compare ABM and simulations (Model To Model) within a given academic field or across different disciplines and to use ontology for to discuss about the epistemic and methodological consequences of modeling choices. The paper starts with some definitions of ontology in philosophy and computer sciences. The implicit and different ontology which underlies the approach of a same object of interest are discussed in the case of spatial economists and geographers. Finally, using the case of Shelling’s model, we discuss the concept of “ontological test,” and raise the question of the ontological compatibility between the “model world” and the “real world.”

Domaines

Philosophie
Loading...
Fichier non déposé

Dates et versions

halshs-00588091, version 1 (22-04-2011)

Identifiants

Citer

Pierre Livet, Denis Phan, Lena Sanders. Why do we need Ontology for Agent-Based Models?. K. Schredelseker, Florian Hauser eds. Complexity and Artificial Markets., LNE Vol. 614, Springer; Springer Berlin Heidelberg, pp.133-144, 2008, Lecture Notes in Economics and Mathematical Systems, 9783540705536. ⟨10.1007/978-3-540-70556-7_11⟩. ⟨halshs-00588091⟩
83 Consultations
0 Téléchargements
Dernière date de mise à jour le 23/06/2024
comment ces indicateurs sont-ils produits

Altmetric

Partager

Gmail Facebook Twitter LinkedIn Plus