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Agent-Based Simulation Modeling: Definitions and a Methodological Proposal
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Author(s): Marco Valente (University of L'Aquila, Italy)
Copyright: 2016
Pages: 12
Source title:
Relational Methodologies and Epistemology in Economics and Management Sciences
Source Author(s)/Editor(s): Lucio Biggiero (Università dell’ Aquila, Italy), Pier Paolo Angelini (Interuniversity Research Centre for Sustainable Development (CIRPS), Italy), Mario Basevi (Italian National Institute of Statistics, Italy), Nunzia Carbonara (Politecnico di Bari, Italy), Antonio Mastrogiorgio (Interuniversity Research Centre for Sustainable Development (CIRPS), Italy), Eliano Pessa (University of Pavia, Italy), Enrico Sevi (Università dell’ Aquila, Italy)and Marco Valente (Università dell’ Aquila, Italy)
DOI: 10.4018/978-1-4666-9770-6.ch004
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Abstract
Computer simulations are a powerful tool for scientific research, but lack an accepted methodology for their use, and consequently their results are generally received with skepticisms. This chapter proposes a methodological approach allowing to formally unify the treatment of “traditional” quantitative phenomena with that of phenomena from economics or biology that prevent a universal adoption of data-centered methods. We propose to adopt the explanation as the basic unit of knowledge, which is able to cover all possible cases. From this assumption, we can derive the conclusion that simulation models fail to deliver their full potential as scientific investigative tool because their implementations lack crucial details on the intermediate steps producing simulation results.
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