Jarynowski, AndrzejParadowski, Michał B.Buda, Andrzej2020-03-042020-03-042019Studia Metodologiczne, nr 39, 2019, s 123–152.0039424Xhttp://hdl.handle.net/10593/25476In sociology, interest in modelling has not yet become widespread. However, the methodology has been gaining increased attention in parallel with its growing popularity in economics and other social sciences, notably psychology and political science, and the growing volume of social data being measured and collected. In this paper, we present representative computational methodologies from both data-driven (such as “black box”) and rule-based (such as “per analogy”) approaches. We show how to build simple models, and discuss both the greatest successes and the major limitations of modelling societies. We claim that the end goal of computational tools in sociology is providing meaningful analyses and calculations in order to allow making causal statements in sociological explanation and support decisions of great importance for society.enginfo:eu-repo/semantics/openAccesscomputational social sciencemathematical modellingsociophysicsquantitative sociologycomputer simulationsagent-based modelssocial network analysisnatural language processinglinguisticsArtykuł