Book Chapter (101)

2015
Book Chapter
Lindenberger, U., Delius, J. A. M., & Staudinger, U. M. (2015). Baltes, Paul B. (1939-2006). In J. D. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (2nd ed., pp. 349–352). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.61315-6
Book Chapter
Neth, H., & Gigerenzer, G. (2015). Heuristics: Tools for an uncertain world. In S. Kosslyn, R. Scott (Ed.), Emerging trends in the social and behavioral sciences (pp. 1–18). Wiley Online Library. https://doi.org/10.1002/9781118900772.etrds0394
2014
Book Chapter
Maaz, K., Neumann, M., & Baumert, J. (2014). Editorial. In K. Maaz, M. Neumann, & J. Baumert (Eds.), Herkunft und Bildungserfolg von der frühen Kindheit bis ins Erwachsenenalter: Forschungsstand und Interventionsmöglichkeiten aus interdisziplinärer Perspektive (pp. 1–7). Springer VS. https://doi.org/10.1007/s11618-013-0461-6
Book Chapter
van den Bos, W., Jenny, M. A., & Wulff, D. U. (2014). Open minded psychology. In S. A. Moore (Ed.), Issues in open research data (pp. 107–127). Ubiquity Press.
Book Chapter
Volz, K. G., & Gigerenzer, G. (2014). The brain is not "as-if": Taking stock of the neuroscientific approach on decision making. In T. D. Papageorgiou, G. I. Christopoulos, & S. M. Smirnakis (Eds.), Advanced brain neuroimaging topics in health and disease: Methods and applications (Vol. 1, pp. 573–603). Intech. https://doi.org/10.5772/58273
2012
Book Chapter
Bodemer, N., & Gaissmaier, W. (2012). Risk communication in health. In S. Roeser, R. Hillerbrand, P. Sandin, & M. Peterson (Eds.), Handbook of risk theory: Epistemology, decision theory, ethics, and social implications of risk (Vol. 2, pp. 621–660). Springer. https://doi.org/10.1007/978-94-007-1433-5_24
2010
Book Chapter
Gerstorf, D., Ram, N., Fauth, E., Schupp, J., & Wagner, G. G. (2010). Between-person disparities in the progression of late-life well-being. In T. C. Antonucci & J. S. Jackson (Eds.), Annual Review of Gerontology and Geriatrics: Vol. 29. Life course perspectives on late-life health inequalities (pp. 205–239). Springer. https://doi.org/10.1891/0198-8794.29.205
Book Chapter
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
2007
Book Chapter
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

Conference Paper (90)

2023
Conference Paper
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.
Conference Paper
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.
Conference Paper
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.
Conference Paper
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
2022
Conference Paper
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.
Conference Paper
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.
Conference Paper
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.
Conference Paper
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
Conference Paper
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
Conference Paper
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.
Conference Paper
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.
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