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

Academic Article
Publication Date:
2019
Citation:
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]
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.
IRIS type:
01 - Articolo su periodico
Keywords:
agent-based simulation; artificial sciences; constructionism; controllability;multi-agent systems; usability
List of contributors:
G. Primiero
Authors of the University:
PRIMIERO GIUSEPPE ( author )
Link to information sheet:
https://air.unimi.it/handle/2434/611684
Full Text:
https://air.unimi.it/retrieve/handle/2434/611684/1132870/eabs_posy.pdf
Project:
Dipartimenti di Eccellenza 2018-2022 - Dipartimento di FILOSOFIA
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Settore M-FIL/02 - Logica e Filosofia della Scienza
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