Manuscripts in progress or under review (email me to get the drafts!)

1. Dubova, M., Moskvichev, A.,& Zollman, K. Against theory-motivated experimentation in science. (under review)

2. Musslick, S., Strittmatter, Y. & Dubova, M. Closed-Loop Scientific Discovery in the Behavioral Sciences. (under review)

3. Dubova, M. & Sloman, S. Excess Capacity Learning. (under review)

Peer-Reviewed Publications and Conference Proceedings

1. Dubova, M. & Moskvichev, A. (2025). The role of active perception and naming in sameness comparison. Attention, Perception & Psychophysics. 

2. Dubova, M., Chandramouli, S., Gigerenzer, G., Grünwald, P., Holmes, W., Lombrozo, T., Marelli, M., Musslick, S., Nicenboim, B., Ross, L., Shiffrin, R., White, M. & Wagenmakers, E. J., Bürkner, P., Sloman, S. J. (2025). Is Ockham's razor losing its edge? New perspectives on the principle of model parsimony. Proceedings of the National Academy of Sciences.

3. Musslick, S., Bartlett, L. K., Chandramouli, S. H., Dubova, M., Gobet, F., Griffiths, T. L., ... & Holmes, W. R. (2025). Automating the Practice of Science—Opportunities, Challenges, and Implications. Proceedings of the National Academy of Sciences.

4. Musslick, S., Andrew, B., Williams, C. C., Li, S., Marinescu, I., Dubova, M., Dang, G., Strittmatter, Y. & Holland, J. G. (2024). AutoRA: Automated Research Assistant for Closed-Loop Empirical Research. Journal of Open Source Software, 9(104), 6839.

5. Hewson, J. T., Sloman, S. J., & Dubova, M. (2024). One system for learning and remembering episodes and rules. Proceedings of the 2024 Conference on Cognitive Computational Neuroscience.

6. Dubova. M., Barrett, L. F., Goldstone, R. L., Musslick, S., & Poldrack, R. A. (2024). Improving Concepts in Cognitive Science. Proceedings of the Cognitive Science Society 2024. See the workshop website for more details!

7. Dubova, M. & Goldstone, R. L. (2024). How do brain maps affect novices  in a simplified scientific investigation task? Proceedings of the Cognitive Science Society 2024. 

8. Dubova, M. & Goldstone, R. L. (2023). Carving joints into nature: reengineering scientific concepts in light of concept-laden evidence. Trends in Cognitive Sciences, S1364-6613.

9. Dubova, M. & Sloman, S. J. (2023). Excess capacity learning. Proceedings of the Cognitive Science Society 2023. 

10. Goldstone, R., Dubova, M., Aiyappa, R. & Edinger, A. (2023). The Spread of Beliefs in Partially Modularized Communities. Perspectives on Psychological Science.

11. Musslick, S., Hewson, J., Andrew, B., Strittmatter, Y., Williams, C., Dang, G., Dubova, M., & Holland, J. (2023). An Evaluation of Experimental Sampling Strategies for Autonomous Empirical Research in Cognitive Science. Proceedings of the Cognitive Science Society 2023. 

12. Dubova, M. (2022). Generalizing with overly complex representations. NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems.

13. Dubova, M., & Goldstone, R. L. (2022). Categorical perception meets El Greco: Categories unequally influence color perception of simultaneously present objects. Cognition, 223, 105025.

14. Dubova, M., Galesic, M., & Goldstone, R. L. (2022). Cognitive Science of Augmented Intelligence. Cognitive Science, 46(12), e13229.

15. Dubova, M. (2021). Building Human-like Communicative Intelligence: A Grounded Perspective. Cognitive Systems Research, 72C, pp. 63-79.

16. Dubova, M. (2021). Growing Opportunities to Grow: Toward Open-Ended Multi-Agent Communication Learning. In ALIFE 2021: The 2021 Conference on Artificial Life. MIT Press.

17. Dubova, M., & Goldstone, R. (2021). Categories affect color perception of only some simultaneously present objects. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).

18. Dubova, M., & Goldstone, R. L. (2021). The Influences of Category Learning on Perceptual Reconstructions. Cognitive Science, 45(5), e12981.

19. Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O. R., van Aert, R. C., Van Assen, M. A., ... & Schulte-Mecklenbeck, M. (2021). Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis. Organizational Behavior and Human Decision Processes.

20. Dubova, M., Moskvichev, A., & Goldstone, R. (2020). Reinforcement Communication Learning in Different Social Network Structures. ICML 2020 1st Language and Reinforcement Learning Workshop.

21. Dubova, M., & Moskvichev, A. (2020). Effects of supervision, population size, and self-play on multi-agent reinforcement learning to communicate. Artificial Life Conference Proceedings (pp. 678-686).

22. Dubova, M. & Moskvichev, A. (2019). Adaptation Aftereffects as a Result of Bayesian Categorization. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (pp. 1669-1675).

23. Belyy, A., Dubova, M. & Nekrasov, D. (2018). Improved Evaluation Framework for Complex Plagiarism Detection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (Vol. 2, pp. 157-162).

24. Belyy, A. & Dubova, M. (2018). Framework for Russian Plagiarism Detection Using Sentence Embedding Similarity and Negative Sampling. Computational Linguistics and Intellectual Technologies: papers from the Annual international conference “Dialogue” (pp. 96-109).

25. Moskvichev, A., Dubova, M., Menshov, S. & Filchenkov, A. (2017). Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits. In Conference on Artificial Intelligence and Natural Language (pp. 16-26). Springer, Cham.