My research revolves around human learning and decision making. In particular, I’ve worked on strategy selection problem, popularly called a “deciding how to decide” problem, and on integrating function learning with decision making. On theoretical side, I often approach these topics from a reinforcement learning perspective and rely a lot on methods developed in machine learning. On empirical side, I usually conduct experiments, collecting behavioural (and soon neuroimaging) data to test the predictions and the models. I’m quite excited to be in this area of research. It’s a truly interdisciplinary topic, and significant developments are happening all over the place – from economics and psychology, over biology and neuroscience, to machine learning and artificial intelligence.

I’m an open science proponent. Publishing business is intolerable, with companies cheating governments into paying multiple times for the same product, so I aim to publish in open access journals. To contribute to reproducible science I aim to make all the research output publicly available, from the data to the code used for modelling and analysis. I’m trying to spread these practices more widely by asking authors to publish the code and the data as a reviewer - I have signed the Peer Reviewers’ Openness Initiative. Whenever possible, I will preregister my studies, to help reducing the rate of false positives that plagues science.

Regarding the code, most of it is in R, and somewhat less in Python, JavaScript, and Bourne shell. Sometimes you will find scripts in C++ and Matlab.

Academic profiles

  • [ORCID]: Unique researcher ID
  • [Google Scholar]: Papers
  • [Publons]: Some of my reviews are listed here
  • [OSF]: I actively use it to make the files related to research projects publicly available (data, code, etc)
  • [figshare] - I used to put some of my research output here

Papers

In preparation

  • Analytis, Pantelis P., Stojic, Hrvoje, Gelastopoulos, Alexandros, and Moussaid, Mehdi. “The collective dynamics of sequential search”.

  • Stojic, Hrvoje, Analytis, Pantelis P., Dayan, Peter & Speekenbrink, Maarten. “Trials-with-fewer-errors: Feature-based learning and exploration”.

  • Stojic, Hrvoje, Olsson, Henrik & Analytis, Pantelis P. “Heuristic and Linear Models of Judgment: A Cue Weight Learning Perspective”.

  • Stojic, Hrvoje, Schulz, Eric, Analytis, Pantelis P., & Speekenbrink, Maarten (submitted). “It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options”.

Preprints

  • Analytis, Pantelis P., Stojic, Hrvoje & Moussaid, Mehdi. “The collective dynamics of sequential search in markets for cultural products”. Santa Fe Institute Working Paper, 15-06-023. [pdf]

  • Stojic, Hrvoje, Olsson, Henrik & Speekenbrink, Maarten. “Not everything looks like a nail: Learning to select appropriate decision strategies in multiple environments”. PsyArXiv. DOI: 10.17605/OSF.IO/FMA3P [pdf]

  • Vieider, Ferdinand M., Cingl, Lubomir, Martinsson, Peter & Stojic, Hrvoje. “Separating attitudes towards money from attitudes towards probabilities: Stake effects and ambiguity as a test for prospect theory”. Discussion Paper, WBZ, SP II 2013–401. [pdf]

Conference proceedings

  • Analytis, Pantelis P., Stojic, Hrvoje, Gelastopoulos, Alexandros, & Mehdi Moussaid (2017). “Diversity of preferences can increase collective welfare in sequential exploration problems”. In: Proceedings of the 5th Collective Intelligence Conference. 1-4. [pdf] [code]

  • Stojic, Hrvoje, Olsson, Henrik and Analytis, Pantelis P. (2016) “Explaining inter-individual variability in strategy selection: A cue weight learning approach”. In: Proceedings of the 14th International Conference on Cognitive Modeling. (Honorable mention at ICCM). University Park, PA: Penn State, pp. 144-150. [pdf] [data]

  • Stojic, Hrvoje, Analytis, Pantelis P. & Speekenbrink, Maarten (2015). “Human behavior in contextual multi-armed bandit problems”. In: Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX, US: Cog- nitive Science Society, 2290-2295. [pdf] [data]

Theses & other publications

  • Stojic, Hrvoje (2016). “Strategy selection and function learning in decision making”. PhD thesis, Universitat Pompeu Fabra. [pdf]

  • Stojic, Hrvoje, Anreiter, Michael R. & Martinez, Jose A.C. (2011). “An Experimental Test of the Dual Self Model”. Unpublished thesis, Master of Science, Universitat Pompeu Fabra. [pdf]

  • Stojic, Hrvoje (2017). “[Re] How learning can guide evolution”. ReScience, 3 (1). DOI: 10.5281/zenodo.890884 [pdf] [code]