The
course deals with basic theoretical assumptions, purpose and attributes of
crucial approaches in the construction of simulation models, as recently a
quite propulsive, primarily interdisciplinary, knowledge field emerged due to
the vigorous advancement of computer technologies. It examines the advantages
and prospects of social simulation methodology and unfolds it shortcomings and
constraints. Particular emphasis is on the question whether (and to which
degree) simulation models can elevate the explanatory and predictive power of
social sciences (especially sociology), but also how they can be practically
applied in order to foster certain social processes. The content of the
instruction comprises scrutinizing the central features of the following types
of modelling: system dynamics, microsimulations, discrete models,
multilevel modelling, cellular automata, agent-based modelling, neural networks, expert systems, etc. Moreover, the course discusses in which manner
artificial intelligence (as a specific type of model) can be integrated into
diverse domains of social life nowadays.
- Izvođač: Krešimir Žažar