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Title: Towards an emergence-driven software process for agent-based simulation
Authors: David, N.
Sichman, J. S.
Coelho, H.
Issue Date: 2003
Publisher: Springer-Verlag
Abstract: In this paper we propose an emergence-driven software process for agent-based simulation that clarifies the traceability of micro and macro observations to micro and macro specifications in agent-based models. We use the concept of hyperstructures [1] to illustrate how micro and macro specifications interact in agent-based models, and show that the reductionism/ non-reductionism debate is important to understand the reliability of agent-based simulations. In particular, we show that the effort expended in the verification of agent-based simulations increases exponentially with the number of micro and macro specifications, and that the reliability assessment of non-anticipated results in simulation is in practice not possible. According to these results we claim to be impossible in practice to verify that an agent-based conceptual model has been implemented properly as a computational model, since we do not usually know what we want the output to be a priori. We thus advocate that the classic process of verification, validation and exploration of non-anticipated results is not reliable in agent-based simulation, and call into question the applicability of traditional software engineering methods to agent-based simulation.
Description: WOS:000182433300007 (Nº de Acesso Web of Science)
Peer reviewed: yes
DOI: 10.1007/3-540-36483-8_7
ISBN: 978-3-540-00607-7
ISSN: 0302-9743
Publisher version: The definitive version is available at:
Appears in Collections:DINÂMIA'CET-RI - Artigo em revista científica internacional com arbitragem científica

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