Agent Based Modeling and Simulation (ABMS) is considered an effective approach for conducting simulation studies in many fields. In order to develop high quality simulation models, methodological approaches are demanded. In such direction we are moving by proposing a heuristic for the formalization of agent based simulation problems. The proposed heuristic is based on some guidelines developed for identifying the main elements of the problem domain description by analysing verbs and their common taxonomy in grammar.

Cossentino, M., Lodato, C., Ribino, P., & Seidita, V. (2015). A heuristic for problem formalization in agent based simulation studies. In Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015 (pp. 1733-1743). Institute of Electrical and Electronics Engineers Inc. [10.15439/2015F287].

A heuristic for problem formalization in agent based simulation studies

COSSENTINO, Massimo;RIBINO, Patrizia;SEIDITA, Valeria
2015

Abstract

Agent Based Modeling and Simulation (ABMS) is considered an effective approach for conducting simulation studies in many fields. In order to develop high quality simulation models, methodological approaches are demanded. In such direction we are moving by proposing a heuristic for the formalization of agent based simulation problems. The proposed heuristic is based on some guidelines developed for identifying the main elements of the problem domain description by analysing verbs and their common taxonomy in grammar.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
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https://annals-csis.org/proceedings/2015/drp/287.html
Cossentino, M., Lodato, C., Ribino, P., & Seidita, V. (2015). A heuristic for problem formalization in agent based simulation studies. In Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015 (pp. 1733-1743). Institute of Electrical and Electronics Engineers Inc. [10.15439/2015F287].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/223412
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