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G. Hanappi:
"Agent-based modelling. History, essence, future";
PSL Quarterly Review, 70 (2017), 283; 449 - 472.

In many areas of the social sciences the technique of agent-based modelling (ABM) becomes more and more popular. For many researchers not specialized in computer simulation this catchy term seems to provide a way between Scylla and Charybdis, between the arcane dream worlds of mainstream, general equilibrium economists and the jungle ofsociological singularities that leaves us in a forest of contradictory case studies. Of course, the former - due to their mathematical language and despite their mostly trivial content - are much harder to read; but the mass of the latter has the disadvantage to become even more boring soon. Once it is decided to construct an ABM, this immediately implies that at least a vague idea of what an ABM looks like has to exist. As in most other areas, this idea usually is based on imitation: Take a look at what others did. This is what happened in the last twenty years,and as could have been expected a large set of quite different types of software applications and corresponding customers emerged. Today, still a clear picture of what is characteristic for ABM remains controversial.

Simulation

https://publik.tuwien.ac.at/files/publik_264573.pdf

Project Head Gerhard Hanappi:
Ad personam Jean Monnet Lehrstuhl für politische Ökonomie der europäischen Integration