My research revolves around human learning and decision making. In particular, I’ve worked on integrating function learning with decision making and strategy selection problem, popularly called a “deciding how to decide” problem. 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 data to test the predictions and the models, often leveraging online labour markets like Amazon’s Mechanical Turk. Since recently, I have also started collecting eye-tracking and neuroimaging data alongside the behavioral data. 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. To contribute to reproducible science I strive 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 as a reviewer, by asking authors to publish the code and the data - I have signed the Peer Reviewers’ Openness Initiative. Whenever possible, I preregister my studies, to help reducing the rate of false positives that plagues science.

Academic profiles

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

Papers

In preparation

  • Stojic, Hrvoje, Orquin, Jacob, Dayan, Peter, Dolan, Raymond, & Speekenbrink, Maarten. “Role of uncertainty in learning and choices through the lens of attentio”.

  • Stojic, Hrvoje, Eldar, Eran, Wimmer, Elliott, Bassam, Hassan, Dayan, Peter, & Dolan, Raymond. “Are you sure about that? On the origins of confidence in concept learning”. [conference proceedings, pdf]

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

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

  • Analytis, Pantelis P., Stojic, Hrvoje, Gelastopoulos, Alexandros, and Moussaid, Mehdi. “The collective dynamics of sequential search”. [Santa Fe Institute discussion paper, pdf]

  • Analytis, Pantelis P., Stojic, Hrvoje, Gelastopoulos, Alexandros, and Moussaid, Mehdi. “Diversity of preferences can increase collective welfare in sequential exploration problems”. [conference proceedings, pdf]

Under review

  • Stojic, Hrvoje, Olsson, Henrik, & Analytis, Pantelis P. “Linear integration vs. lexicographic models of choice: A cue weight learning perspective”. [PsyArXiv preprint, pdf]

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

  • Bouchouicha, Ranoua, Lachlan Deer, Ashraf Eid, Peter McGee, Daniel Schoch, Hrvoje Stojic, Jolanda Ygosse-Battisti, and Ferdinand M. Vieider. “Gender Effects for Loss Aversion: Yes, No, Maybe?”. [pdf]

Conference proceedings

  • Stojic, Hrvoje, Eldar, Eran, Bassam, Hassan, Dayan, Peter, & Dolan, Raymond (2018). “Are you sure about that? On the origins of confidence in concept learning”. In: Proceedings of the Cognitive Computational Neuroscience Conference. 1-4. [pdf]

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

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

  • 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]