von Oertzen, T., Ghisletta, P., & Lindenberger, U. (2010). Simulating statistical power in latent growth curve modeling: A strategy for evaluating age-based changes in cognitive resources. In M. W. Crocker & J. Siekmann (Eds.), Resource-adaptive cognitive processes (pp. 95–117). Springer. https://doi.org/10.1007/978-3-540-89408-7_6

Raz, N., Rodrigue, K. M., & Haacke, E. M. (2007). Brain aging and its modifiers: Insights from in Vivo neuromorphometry and susceptibility weighted imaging. In M. J. de Leon, D. A. Snider, & H. Federoff (Eds.), Imaging and the aging brain (pp. 84–93). Blackwell. https://doi.org/10.1196/annals.1379.018

Chai, K.-X., Stanciu, O., & Ruggeri, A. (2023). Efficient detectives in the sandbox: Children demonstrate adaptive information-search strategies in a novel spatial search game. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 702–708). UC Merced.

Serko, D., Li, Y.-L., Swaboda, N., & Ruggeri, A. (2023). Preschoolers select the relevant information when looking for a hidden present. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 1951–1957). UC Merced.

Serko, D., Vasil, N., & Ruggeri, A. (2023). The role of causal stability in children’s active exploration. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 2186–2192). UC Merced.

Trianni, V., Nuzzolese, A. G., Porciello, J., Kurvers, R. H. J. M., Herzog, S. M., Barabucci, G., Berditchevskaia, A., & Fung, F. (2023). Hybrid collective intelligence for decision support in complex open-ended domains. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor, & I. Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence (pp. 124–137). IOS Press. https://doi.org/10.3233/FAIA230079

Bolenz, F., & Pachur, T. (2022). Exploring the structure of predecisional information search in risky choice. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 2297–2302). Retrieved from https://escholarship.org/uc/item/4fx494f9.

Fuławka, K., & Pachur, T. (2022). An affective probability weighting function for risky choice with nonmonetary outcomes. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 1025–1032). Retrieved from https://escholarship.org/uc/item/5bg7f816.

Hecht, M., Pachur, T., & Schulze, C. (2022). Does social sampling differ between online and offline contacts? A computational modeling analysis. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 319–325). Retrieved from https://escholarship.org/uc/item/0c161487.

Khajehnejad, A., Khajehnejad, M., Babaei, M., Gummadi, K., Weller, A., & Mirzasoleimanbarzi, B. (2022). CrossWalk: Fairness-enhanced node representation learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 11963–11970). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21454

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Indirect causal influence of a single bot on opinion dynamics through a simple recommendation algorithm. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex networks & their applications X: Vol. 2. Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 28–41). Springer. https://doi.org/10.1007/978-3-030-93413-2_3

Serko, D., Leonard, J., & Ruggeri, A. (2022). Developmental changes in children’s training strategies. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 3425–3431). Retrieved from https://escholarship.org/uc/item/5cz5n57d.

Tump, A. N., Pleskac, T. J., Romanczuk, P., & Kurvers, R. H. J. M. (2022). How the cognitive mechanisms underlying fast choices influence information spread and response bias amplification in groups. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society (pp. 658–664). UC Merced.

Turner, T. D. (2022). There is no closure, no transcendence: Why music and trance in Algeria function as affective maintenance rather than "healing". In F. B. Baraldi (Ed.), Proceedings of The Healing and Emotional Power of Music and Dance (HELP-MD) Symposium, 20-21 May 2021, Lisbon, Portugal (pp. 29–33). Instituto de Etnomusicologia - Centro de Estudos em Música e Dança (INET-md), Faculty of Social and Human Sciences, NOVA University Lisbon. https://doi.org/10.5281/zenodo.6645159

Borukhson, D., Lorenz-Spreen, P., & Ragni, M. (2021). When does an individual accept misinformation? In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43). Retrieved from https://escholarship.org/uc/item/75b1q7r4.

Jung, C., Hong, I., Sáez-Trumper, D., Lee, D., Myung, J., Kim, D., Yun, J., Jung, W.-S., & Cha, M. (2021). Information flow on COVID-19 over Wikipedia: A case study of 11 languages. In WWW '21: Companion Proceedings of the Web Conference 2021. Ljubljana, Slovenia, April 19 - 23, 2021 (pp. 627–628). International World Wide Web Conferences Committee. https://doi.org/10.1145/3442442.3452352

Keupp, S., Grueneisen, S., Warneken, F., Ludvig, E. A., & Melis, A. P. (2021). Relationship between delay discounting and risk preference in chimpanzees (Pan troglodytes) and humans. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43). Retrieved from https://escholarship.org/uc/item/7jg8s1d8.

Analytis, P. P., Barkoczi, D., Lorenz-Spreen, P., & Herzog, S. M. (2020). The structure of social influence in recommender networks. In Y. Huang, I. King, T.-Y. Liu, & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020. Taipei, Taiwan - April 20-24, 2020 (pp. 2655–2661). International World Wide Web Conference Committee. https://doi.org/10.1145/3366423.3380020

Ascone, L., Ney, K., Mostajeran, F., Steinicke, F., Moritz, S., Gallinat, J., & Kühn, S. (2020). Virtual reality for individuals with occasional paranoid thoughts. In CHI'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3334480.3382918

Fleur, D. S., van den Bos, W., & Bredeweg, B. (2020). Learning analytics dashboard for motivation and performance. In V. Kumar & C. Troussas (Eds.), Intelligent tutoring systems: 16th International Conference, ITS 2020 Athens, Greece, June 8–12, 2020. Proceedings (pp. 411–419). Springer. https://doi.org/10.1007/978-3-030-49663-0_51