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

Under review

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

  • Hrvoje Stojic, Jacob Orquin, Peter Dayan, Raymond Dolan, & Maarten Speekenbrink. “Uncertainty in learning, choice and visual fixation”. [PsyArXiv preprint, pdf]

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

  • Ranoua Bouchouicha, 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]

2013 - 2018

  • Hrvoje Stojic, Eran Eldar, Hassan Bassam, Peter Dayan, & Raymond Dolan (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]

  • Pantelis P. Analytis, Hrvoje Stojic, Alexandros Gelastopoulos, & 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]

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

  • Hrvoje Stojic, Henrik Olsson & Maarten Speekenbrink (2016). “Not everything looks like a nail: Learning to select appropriate decision strategies in multiple environments”. [PsyArXiv preprint, pdf]

  • Hrvoje Stojic, Henrik Olsson and Pantelis P. Analytis (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]

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

  • Pantelis P. Analytis, Hrvoje Stojic, Alexandros Gelastopoulos, and Mehdi Moussaid (2015). “The collective dynamics of sequential search in markets for cultural products”. Santa Fe Institute Discussion Paper, 15-06-023. [pdf]

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

Theses

  • Hrvoje Stojic (2017). “Strategy selection and function learning in decision making”. Published PhD thesis, Universitat Pompeu Fabra. [pdf]

  • Hrvoje Stojic, Michael R. Anreiter & Jose A.C. Martinez (2011). “An Experimental Test of the Dual Self Model”. Unpublished MSc thesis, Barcelona Graduate School of Economics. [pdf]

Work in progress

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

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

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

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

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

  • Hrvoje Stojic, Elliott Wimmer, Hassan Bassam, Peter Dayan, & Raymond Dolan. “Probabilistic maps of functional knowledge in the human hippocampal-entorhinal cortex”.

  • Hrvoje Stojic, Eran Eldar, Clelia Cornet, Peter Dayan, & Raymond Dolan. “Learning reward functions: multiple strategies for tackling multidimensional environments”.

  • Hassan Bassam, Hrvoje Stojic, Elliott Wimmer, & Raymond Dolan. “Effects of feedback delay on learning functions”.