The epistemology of computer simulations has become a mainstream topic in the philosophy of technology. Within this large area, significant differences hold between the various types of models and simulation technologies. Agent-based and multi-agent systems simulations introduce a specific constraint on the types of agents and systems modelled. We argue that such difference is crucial and that simulation for the artificial sciences requires the formulation of its own specific epistemological principles. We present a minimally committed epistemology which relies on the methodological principles of the Philosophy of Information and requires weak assumptions on the usability of the simulation and the controllability of the model. We use these principles to provide a new definition of simulation for the context of interest.

A Minimalist Epistemology for Agent-Based Simulations in the Artificial Sciences / G. Primiero. - In: MINDS AND MACHINES. - ISSN 0924-6495. - (2019). [Epub ahead of print] [10.1007/s11023-019-09489-4]

A Minimalist Epistemology for Agent-Based Simulations in the Artificial Sciences

G. Primiero
2019

Abstract

The epistemology of computer simulations has become a mainstream topic in the philosophy of technology. Within this large area, significant differences hold between the various types of models and simulation technologies. Agent-based and multi-agent systems simulations introduce a specific constraint on the types of agents and systems modelled. We argue that such difference is crucial and that simulation for the artificial sciences requires the formulation of its own specific epistemological principles. We present a minimally committed epistemology which relies on the methodological principles of the Philosophy of Information and requires weak assumptions on the usability of the simulation and the controllability of the model. We use these principles to provide a new definition of simulation for the context of interest.
agent-based simulation; artificial sciences; constructionism; controllability;multi-agent systems; usability
Settore M-FIL/02 - Logica e Filosofia della Scienza
   Dipartimenti di Eccellenza 2018-2022 - Dipartimento di FILOSOFIA
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/611684
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