Symulacje komputerowe modeli wieloagentowych (ABM) jako narzędzie badawcze w naukach społecznych
Agent-based simulation models (ABM) as a research tool in social science

Summary/Abstract: This paper discusses practical use of computer simulation techniques in social sciences, with particular reference to political science and sociology. The main subject of the research were agent-based simulation models (ABM), which is so far the most commonly used simulation technique in various disciplines, such as economics, sociology, anthropology, and behavioural sciences. Author provides an overview of two agent-based simulation models (the Schelling spatial segregation model and Axelrod- Hammond’s evolution of ethnocentrism model) with original implementations written in Python 3.6. The aim was to verify all the findings claimed by cited authors, as well as evaluate applied methodology. This paper emphasizes some research issues that need to be addressed with regard to veracity of simulation models in social sciences. It explains the necessary conditions for agent-based simulations to be recongnized as genuine research tool.

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