Education
MA – Computer Science, Lodz University, 1999
PhD – Psychology, Jagiellonian University, 2006
Habilitation – Psychology, Jagiellonian University, 2014
Academic Appointments
Associate Professor at Institute of Philosophy, Jagiellonian University in Krakow
Head of Cognitive Science Department, Head of MA Programmes in Cognitive ScienceResearch Interests
I study the cognitive and neurophysiological mechanisms of relational reasoning and learning (both related to fluid intelligence and working memory). I am also involved in the research on self-control (cognitive/executive control). To track these research problems I use behavioral experimentation, psychometric methods, eye-tracking, electroencephalography (EEG), and optical spectroscopy (fNIRS). My most useful analytic tools include computational modeling, structural equation modeling, connectome modeling, as well as various methods of EEG and fNIRS signal analysis. I am also deeply interested in the foundations of cognitive science, with special focus at the biologically-plausible cognitive architectures as well as the emergentist theories of the human mind.Most important grants and awards
(2020-2023) Neural dynamics underlying relational reasoning - grant awarded by National Science Centre of Poland (OPUS 17, 1.896.800 PLN)
(2018 – 2022) Coupling of neuronal oscillations related to general perceptual resolution: Identification,
(2016 – 2018) Neuro-logic: Oscillatory mechanisms of reasoning ability – grant awarded by Foundation for Polish Science (MISTRZ, 299.400 PLN)
(2016 – 2018) Mechanisms of visual working memory – grant awarded by National Science Centre of Poland (OPUS9, 598.800 PLN)
(2014 – 2017) The role of binding and integration of relational structures in abstract thinking and reasoning – grant awarded by National Science Centre of Poland (OPUS6, 778.000 PLN)
(2011 – 2016) Chasing the homunculus of self-control: cognitive mechanisms of the choice and implementation of action goals – grant awarded by National Science Centre of Poland (SONATA1, 271.000 PLN)
(2011 – 2014) What is fluid intelligence? – grant awarded by Polish Ministry of Science and Higher Education (146.000 PLN)
(2006 – 2007) Computational model of working memory search – grant awarded by Polish Ministry of Science and Higher Education (67.500 PLN)
(2013 – 2016) Several Prizes for scientific achievements awarded by the Rector of Jagiellonian University
(2013) An article on the Scientific American website
(2012) Best paper prize (with K. Andrelczyk & T. Smoleń), Int. Conf. on Cognitive Modeling, Berlin
PUBLICATIONS
Full texts of publications are available at my ResearchGate profilePeer-reviewed journal papers
Skrzypulec, B., & Chuderski, A. (2020). Nonlinear effects of spatial connectedness implicate hierarchically structured representations in visual working memory. Journal of Memory and Language, 113, 104124.
Drążyk, D., Kumka, M., Zarzycka, K., Zguda, P., & Chuderski, A. (2020). No indication that the ego depletion manipulation can affect insight: a comment on DeCaro and VanStockum (2018). Thinking & Reasoning, DOI:10.1080/13546783.2019.
Chuderski, A., Jastrzębski, J., & Kucwaj, H. (2020). How physical interaction with insight problems affects solution rates, hint use, and cognitive load. British Journal of Psychology, DOI:10.1111/bjop.12442
Kucwaj, H., & Chuderski, A. (2020). Susceptibility to distraction during analogical reasoning in schizophrenia. Schizophrenia Research: Cognition, 20, 100170.
Chuderski, A. (2019). Even a single trivial binding of information is critical for fluid intelligence. Intelligence, 77, 101396.
Smoleń, T., & Chuderski, A. (2019). Semantic conflict mobilizes self-control in a realistic task. Current Psychology, 38, 134-144.
Chuderski, A., & Jastrzębski, J. (2018). No role of initial problem representation in insight problem solving. Creativity Research Journal, 30, 428-438.
Smoleń, T., Jastrzębski, J., Estrada, E., & Chuderski, A. (2018). Most evidence for the compensation account of cognitive training is unreliable. Memory & Cognition, 46, 1315-1330.
Jastrzębski, J., Ciechanowska, I., & Chuderski, A. (2018). The strong link between working memory capacity and fluid intelligence cannot be explained away by strategy use. Intelligence, 66, 44-53.
Gągol, A., Magnuski, M., Kroczek, B., Kałamała, P., Ociepka, M., Santarnecchi, E., & Chuderski, A. (2018). Delta phase modulation of gamma neuronal oscillations explains fluid intelligence.Intelligence, 66, 54-63.
Chuderski, A. & Jastrzębski, J. (2018). Much ado about Aha! Insight problem solving is strongly related to working memory capacity and reasoning ability. Journal of Experimental Psychology: General, 147, 257-281.
Chuderski, A. & Jastrzębski, J. (2017). Working memory facilitates insight instead of hindering it: A comment on DeCaro et al. (2016). Journal of Experimental Psychology: Learning, Memory, & Cognition, 43, 1993-2004.
Kałamała, P., Sadowska, A., Ordziniak, W., & Chuderski, A. (2017). Gestalt effects in visual working memory: Whole-part similarity works, symmetry does not. Experimental Psychology, 64, 5-13.
Chuderski A. (2016). Fluid intelligence and the cross-frequency coupling of neuronal oscillations. Spanish Journal of Psychology, 19, E91.
Chuderski, A., Senderecka, M., Kałamała, P., Kroczek, B., & Ociepka, M. (2016). ERP correlates of the conflict level in the multi-response Stroop task. Brain Research, 1650, 93-102.
Chuderski, A. (2016). Time pressure prevents relational learning. Learning and Individual Differences, 49, 361-365.
Colom, R., Chuderski, A., & Santarnecchi E. (2016). Bridge over troubled water: Commenting the Process Overlap Theory. Psychological Inquiry, 27, 181-189.
Chuderski, A., & Smoleń, T. (2016). An integrated model of utility-based evaluation and resolution of conflicts in the Stroop task. Psychological Review, 123, 255-290.
Kroczek, B., Ociepka, M., & Chuderski, A. (2016). No Spearman’s Law of Diminishing Returns for the working memory and intelligence relationship. Polish Psychological Bulletin, 47, 83-90.
Smoleń, T. & Chuderski, A. (2015). The quadratic relationship between difficulty of intelligence test items and their correlations with working memory. Frontiers in Psychology, 6, Article 1270.
Chuderski, A. (2015). The broad factor of working memory is virtually isomorphic to fluid intelligence tested under time pressure. Personality and Individual Differences, 85, 98-104.
Chuderski, A., & Andrelczyk, K. (2015). From neural oscillations to complex cognition: Simulating the effect of the theta-to-gamma cycle length ratio on analogical reasoning. Cognitive Psychology, 76, 78-102.
Chuderski, A. (2015). Why people fail on the fluid intelligence tests. Journal of Individual Differences, 36, 138-149.
Chuderski, A. (2015). High intelligence prevents the negative impact of anxiety on working memory. Cognition & Emotion, 29, 1197-1209.
Chuderski, A. (2014). How well can storage capacity, executive control, and fluid reasoning explain insight problem solving. Intelligence, 46, 258-270.
Chuderski, A. (2014). Which working memory components predict intelligence: The roles of attention control and active buffer capacity. Psychology, 5, 328-339.
Chuderski, A., Smolen, T., & Taraday, M. (2014). Neither a response nor stimulus set-size effect in the manual Stroop task. Studia Psychologica, 56, 21-35.
Chuderska, A., & Chuderski, A. (2014). Two facets of cognitive control in analogical mapping: The role of semantic interference resolution and goal-driven structure selection. Thinking & Reasoning, 20, 352-371.
Chuderski, A. (2014). The relational integration task explains fluid reasoning above and beyond other working memory tasks. Memory & Cognition, 42, 448-463.
Chuderski, A. (2013). When are fluid intelligence and working memory isomorphic and when are they not? Intelligence, 41, 244-262.
Chuderski, A., Andrelczyk, K., & Smoleń, T. (2013). An oscillatory model of individual differences in working memory capacity and relational integration. Cognitive Systems Research, 24, 87-95.
Chuderski, A., & Stettner, Z. (2013). Testing the dual-component account of working memory with a serial recognition task. Frontiers in Psychological and Behavioral Science, 2, 10-16.
Chuderski, A., & Nęcka, E. (2012). The contribution of working memory to fluid intelligence: Capacity, control, or both? Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1689-1710.
Chuderski, A., Taraday, M., Nęcka, E., & Smoleń, T. (2012). Storage capacity explains fluid intelligence but executive control does not. Intelligence, 40, 278-295.
Chuderski, A., Stettner, Z., & Orzechowski, J. (2007). Computational modeling of individual differences in short term memory search. Cognitive Systems Research, 8, 161-173.
Book chapters
Chuderski, A. & Jastrzębski, J. (2017). The relationship of insight problem solving to analytical thinking: Evidence from psychometric studies. To appear in F. Vallee-Tourangeau (Ed.), Insight: On the origin of ideas. Abingdon, UK: Routledge.
Chuderski, A., & Nęcka, E. (2010). Intelligence and cognitive control. In: A. Gruszka, G. Matthews, B. Szymura, (red.), Handbook on individual differences in cognition: Attention, memory, and executive control (pp. 263-281). New York: Springer Verlag.
Eysenck, M. W., Matthews, G., Nęcka, E., Chuderski, A., Schweizer, K., & Szymura, B. (2010). Individual differences in attention: The commentaries. In: A. Gruszka, G. Matthews, B. Szymura, (red.), Handbook on individual differences in cognition: Attention, memory, and executive control (pp. 283-292). New York: Springer Verlag.
Conference papers
Chuderski, A., & Jastrzębski, J. (2019). Female advantage in visual working memory capacity for familiar shapes but not abstract symbols. W: A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41th Annual Meeting of the Cognitive Science Society (pp. 1521-1526). Austin, TX: Cognitive Science Society.
Jastrzębski, J., Kucwaj, H., & Chuderski, A. (2019). Interacting physically with insight problems does not affect problem solving process. W: A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41th Annual Meeting of the Cognitive Science Society (pp. 1963-1969). Austin, TX: Cognitive Science Society.
Jastrzębski, J. & Chuderski, A. (2017). Reasoning ability predicts irrational worldview but not conspiracy belief. In G. Gunzelmann, A. Howes, T. Tenbrink, E. Daavelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 2290-2295).
Smoleń, T., & Chuderski, A. (2015). The effect of evoked conflict on executive control in a realistic task. In G. Airenti, B. G. Bara, G. Sandini (Eds.) Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (pp. 441-446). Torino: University of Torino.
Kałamała, P., Sadowska, A., Ordziniak, W., & Chuderski, A. (2015). Gestalt effects in visual working memory. In G. Airenti, B. G. Bara, G. Sandini (Eds.) Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (pp. 42-47). Torino: University of Torino.
Andrelczyk, K., Chuderski, A. & Smolen, T. (2015). When and why does visual working memory capacity depend on the number of visual features stored: An explanation in terms of an oscillatory model. In N. A. Taatgen, van Vugt, M. K., Borst, J. P., & Mehlhorn, K. (Eds.) Proceedings of 13th International Conference on Cognitive Modeling (pp. 166-171). Groningen, the Netherlands: University of Groningen.
Chuderski, A., & Chuderska, A. (2013). How working memory capacity constrains the learning of relational concepts. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.) Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 2052-2057). Austin, TX: Cognitive Science Society.
Smolen, T., Andrelczyk, K., & Chuderski, A. (2012). Neurocognitive mechanisms of reasoning ability: An oscillatory model of individual differences in relational integration. In N. Gierasimczuk, P. Łupkowski, & M. Urbański (Eds.) Logic and Cognition (pp. 49-58). Poznan: Adam Mickiewicz University.
Andrelczyk, K., Smolen, T., & Chuderski, A. (2012). Oscillatory basis of individual differences in working memory capacity. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.) Proceedings of 11th International Conference on Cognitive Modeling (pp. 181-186). Berlin: Technische Universität Berlin. (Best Paper Prize)
Chuderski, A., & Smoleń, T. (2011). The effect of response set size on the Stroop interference. In C. Hoelscher, T. F. Shipley, L. Carlson (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2162-2167). Austin, TX: Cognitive Science Society.
Smoleń, T., & Chuderski, A. (2010). Modeling strategies in Stroop with a general architecture of executive control. In S. Ohlsson, R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 931-936). Austin, TX: Cognitive Science Society.
Chuderska, A., & Chuderski, A. (2009). Executive control in analogical reasoning: Beyond interference resolution. In N. Taatgen, H. van Rijn, J. Nerbonne, L. Schomaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1758-1763). Austin, TX: Cognitive Science Society.
Chuderski, A., & Chuderska, A. (2009). Constraints on analogical reasoning: Working memory capacity or executive control? In D. Gentner, K. Holyoak, & B. Kokinov (Eds.), New frontiers in analogy research (pp. 62-71). Sofia: NBU.
Chuderski, A., Stettner,Z., & Orzechowski, J. (2008). Bipartite models of working memory. In V. Sloutsky, B. Love, K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1531-1536). Austin, TX: Cognitive Science Society.
Chuderski, A. (2007). A model of flexible control in task switching. In S. Vosniadou, D. Kayser, A. Protopapas (Eds.), Proceedings of the 2nd European Cognitive Science Conference (pp. 306-311). Hove: L. Erlbaum.
Paulewicz, B., Chuderski, A., & Nęcka, E. (2007). Insight problem solving, fluid intelligence, and executive control: A SEM approach. In S. Vosniadou, D. Kayser, A. Protopapas (red.), Proceedings of the 2nd European Cognitive Science Conference (pp. 586-591). Hove: L.Erlbaum.
Chuderski, A., Stettner, Z., & Orzechowski, J. (2006). Modeling individual differences in working memory search task. In D. Fum, F. Del Missier, A. Stocco (Eds.), Proceedings of the 7th International Conference on Cognitive Modelling (pp. 74-79). Trieste.
Papers and chapters in Polish
Chuderski, A. (2016). Modelowanie procesów poznawczych [Cognitive modeling]. In J. Bremer (Ed.), Przewodnik po kognitywistyce [Handbook on Cognitive Science] (pp. 79-100). Krakow: WAM.
Chuderski, A., & Bremer, J. (2011). Pojęcia jako przedmiot badań interdyscyplinarnych [Concepts as a domain of interdisciplinary research]. In J. Bremer, & A. Chuderski, A. (Eds.), Pojęcia [Concepts] (pp. 7-45). Krakow: TAiWPN Universitas.
Chuderski, A. (2010). Samokontrola: własności, funkcje, mechanizmy i ograniczenia [Self-control: Features, functions, mechanisms, and constraints]. Studia z Kognitywistyki i Filozofii Umysłu, 4, 27-51.
Chuderski, A., & Orzechowski, J. (2009). Sprawność pamięci roboczej a poziom inteligencji ogólnej [Working memory capacity and general intelligence]. In J. Orzechowski, K. Piotrowski, R. Balas, & Z. Stettner (Eds.), Pamięć robocza [Working memory] (pp. 181-202). Warsaw: Academica.
Chuderski, A., Stettner, Z. (2009). Modelowanie pamięci roboczej [Working memory modeling]. In J. Orzechowski, K. Piotrowski, R. Balas, & Z. Stettner (Eds.), Pamięć robocza [Working memory] (pp. 77-100). Warsaw: Academica.
Chuderski, A. (2008). Poznawcze mechanizmy samokontroli i samoregulacji [Cognitive mechanisms of self-control and self-regulation]. In A. Niedźwieńska (Ed.), Samoregulacja w myśleniu i działaniu [Self-control in thought and action] (pp. 33-51). Krakow: Wyd. UJ.
Chuderski, A. (2007). Eliminacja kosztów przełączania między zadaniami [Elimination of task-switching costs]. Studia Psychologiczne, 45, 5-15.
Chuderski, A. (2006). Architekturalne ograniczenia systemu poznawczego: decyzyjne czy zasobowe? [Architectural constraints of cognitive system: decisional or resource-based?] Kognitywistyka i Media w Edukacji, 8, 177-188.
Chuderski, A., & Orzechowski, J. (2005). Mechanizm dwufazowego przeszukiwania pamięci roboczej: model obliczeniowy [Two-phase model of working memory search: A computational model]. Studia Psychologiczne, 43, 37-50.
Chuderski, A., & Nęcka, E. (2004). Sprawność uwagi a inteligencja: model obliczeniowy w architekturze poznawczej ACT-R [Attentional efficiency and intelligence: An ACT-R model]. Studia Psychologiczne, 42, 111-124.
Chuderski, A. (2002). Klasyczne i hybrydowe architektury poznawcze [Classic and hybrid cognitive architectures]. Kognitywistyka i Media w Edukacji, 6, 231-250.
Edited monograph
Bremer, J., & Chuderski, A. (2011). Pojęcia [Concepts]. Krakow: TAiWPN Universitas.
Ad-hoc reviewer for:
Intelligence (10 reviews); Journal of Experimental Psychology: Learning, Memory, & Cognition (7); Memory & Cognition (4); Memory (2); American Journal of Psychology (1); Journal of Experimental Psychology: General (1); Journal of Memory and Language (1); Journal of Cognitive Psychology (1); Cognitive Systems Research (1); Quarterly Journal of Experimental Psychology (1); Frontiers in Psychology (1); Learning and Individual Differences (1); Studia Psychologica (1); Proceedings of Cognitive Science Society Annual Meetings (~20); reviewer and expert for National Science Centre of PolandMember of:
Cognitive Science Society
International Society for Intelligence Research