@article{Han2018,
	title = {Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and {Markov} chain},
	issn = {0219-3116},
	url = {https://doi.org/10.1007/s10115-017-1151-0},
	doi = {10.1007/s10115-017-1151-0},
	abstract = {© 2018 Springer-Verlag London Ltd., part of Springer Nature Predicting long-term outcomes of interventions is necessary for educational and social policy-making processes that might widely influence our society for the long term. However, performing such predictions based on data from large-scale experiments might be challenging due to the lack of time and resources. In order to address this issue, computer simulations based on evolutionary causal matrices and Markov chain can be used to predict long-term outcomes with relatively small-scale laboratory data. In this paper, we introduce Python classes implementing a computer simulation model and presented some pilot implementations demonstrating how the model can be utilized for predicting outcomes of diverse interventions. We also introduce the class-structuredsimulation module both with real experimental data and with hypothetical data formulated based on social psychological theories. Classes developed and tested in the present study provide researchers and practitioners with a feasible and practical method to simulate intervention outcomes prospectively.},
	journal = {Knowledge and Information Systems},
	author = {Han, Hyemin and Lee, Kangwook and Soylu, Firat},
	year = {2018},
	note = {Publisher: Springer London},
	keywords = {intervention, Intervention, Computer simulation, we, Evolutionary causal matrices, computer simulation, and it was over, and now one road, answers together, but one thing we, E, evolutionary causal, has become many, know for sure, kyle reese, ll search for the, markov chain, Markov chain, matrices, remain, set, skynet was gone, social outcomes, Social outcomes, the future is not, though questions},
	file = {PDF:/home/fsoylu/Zotero/storage/AZDNUFE7/2018_Han, Lee, Soylu.pdf:application/pdf},
}