Adam Chuderski, Ph.D.

Associate Professor

Affiliation:

Institute of Philosophy, Jagiellonian University

Contact:

Interests:

executive (cognitive) control, working memory, cognitive basis of fluid intelligence, relational reasoning, problem solving, cognitive modeling

Member of:

  • Cognitive Science Society
  • International Society for Intelligence Research
  • Polish Cognitive Science Society

Publications:

Chuderski, A. (2016). Time pressure prevents relational learning. Learning and Individual Differences, 49, 361-365. [link]

Chuderski, A., & Smolen, T. (2016). An integrated utility-based model of conflict evaluation and resolution in the Stroop task. Psychological Review, 123(3), 255-290. [link] [data]

Colom, R., Chuderski, A., & Santarnecchi, E. (2016). Bridge over troubled water: Commenting on Kovacs and Conway's Process Overlap Theory. Psychological Inquiry, 27, 181-189. [link]

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. [link]

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, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.) Proceedings of 13th International Conference on Cognitive Modeling (pp. 166-171). Groningen, the Netherlands: University of Groningen. [link]

Chuderski, A. (2015). The broad factor of working memory is virtually isomorphic to fluid intelligence tested under time pressure. Personality and Individual Differences, 85, 98-105. [link]

Chuderski, A. (2015). Why people fail on the fluid intelligence tests.Journal of Individual Differences, 38, 138-149.

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. [link]

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.

Smolen, 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. [link]

Smolen, T., & Chuderski, A. (2015). The quadratic relationship between difficulty of intelligence test items and their correlations with working memory. Frontiers in Psychology, 6:1270, 1-13. [link] [data]

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. [link]

Chuderski, A. (2014). High intelligence prevents the negative impact of anxiety on working memory. Cognition & Emotion, 29, 1197-1209. [link]

Chuderski, A. (2014). How well can storage capacity, executive control, and fluid reasoning explain insight problem solving. Intelligence, 46, 258-270. [link]

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. [link] [data]

Chuderski, A. (2013). When are fluid intelligence and working memory isomorphic and when are they not? Intelligence, 41, 244-262. [link]

Chuderski, A. (2014). Relational integration task explains fluid reasoning above and beyond other working memory tasks. Memory & Cognition, 42, 448-463. [link]

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. [link]

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. [link]

Chuderski, A., Andrelczyk, K., & Smolen, T. (2013). An oscillatory model of individual differences in working memory capacity and relational integration. Cognitive Systems Research, 24, 87-95. [link] [data]

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. [link] [data]

Chuderski, A., & Nęcka, E. (2012). The contribution of working memory to fluid reasoning: Capacity, control, or both? Journal of Experimental Psychology: Learning, Memory, & Cognition, 38, 1689-1710. [link]

Chuderski, A., Taraday, M., Necka, E., & Smolen, T. (2012). Storage capacity explains fluid intelligence but executive control does not. Intelligence, 40(3), 278-295. [link] [data]

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. [link] [data]

Chuderski, A., & Smolen, T. (2011). The Effect of Response Set Size on the Stroop Interference. In L. Carlson, C. Höscher & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2162-2167). Austin, TX: Cognitive Science Society. [link] [data]

Chuderski, A., & Nęcka, E. (2010). Intelligence and cognitive control. In A. Gruszka, G. Matthews, B. Szymura, (Eds.), Handbook of individual differences in cognition: Attention, memory, and executive control (pp. 263-281). New York: Springer Verlag. [link]

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 (s. 283-292). New York: Springer Verlag. [link]

Smolen, T., & Chuderski, A. (2010). Modeling strategies in Stroop with a new architecture of executive control. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of Cognitive Science Society (pp. 931-936). Austin, TX: Cognitive Science Society. [link]

Chuderska, A., & Chuderski, A. (2009). Executive control in analogical reasoning: Beyond interference resolution. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1758-1763). Austin, TX: Cognitive Science Society. [link]

Chuderski, A., & Chuderska, A. (2009). Constraints on analogical reasoning: Working memory capacity or executive control? In D. Gentner, K. Holyoak, & B. Kokinov (red.), New frontiers in analogy research (s. 62-71). Sofia: NBU. [link]

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. [link]

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: Laurence Erlbaum. [link]

Chuderski, A., Stettner, Z., & Orzechowski, J. (2007). Computational modeling of individual differences in short term memory search. Cognitive Systems Research, 8, 161-173. [link]

Paulewicz, B., Chuderski, A., & Nęcka, E. (2007). Insight problem solving, fluid intelligence, and executive control: A structural equation modeling approach. In S. Vosniadou, D. Kayser, & A. Protopapas (Eds.), Proceedings of the 2nd European Cognitive Science Conference (pp. 586-591). Hove: Laurence Erlbaum. [link]

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. [link]

In Polish:

Chuderski, A. (in press). Modelowanie procesów poznawczych. In J. Bremer (ed.), Przewodnik po kognitywistyce. Kraków: WAM. [link]

Bremer, J., & Chuderski, A. (red.) (2011). Pojęcia [Concepts]. Kraków: TAiWPN Universitas.

Chuderski, A., & Bremer, J.(2011) Pojęcia jako przedmiot badań interdyscyplinarnych [Concepts as a domain of an interdisciplinary research]. In Bremer, J., Chuderski, A. (red.), Pojęcia (s. 7-45). Kraków: TAiWPN Universitas. [link]

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 fluid intelligence]. In J. Orzechowski, K. Piotrowski, R. Balas, Z. Stettner (red.), Pamięć robocza (s. 181-202). Warszawa: Academica.

Chuderski, A., & Stettner, Z. (2009). Modelowanie pamięci roboczej [Modeling of working memory]. In J. Orzechowski, K. Piotrowski, R. Balas, Z. Stettner (red.), Pamięć robocza (s. 77-100). Warszawa: Academica.

Chuderski, A. (2008). Poznawcze mechanizmy samokontroli i samoregulacji [Cognitive mechanisms of self-control and self-regulation]. In A. Niedźwieńska (red.), Samoregulacja w myśleniu i działaniu (s. 33-51). Kraków: 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 on the cognitive system: Decisional or related to resources?]. Kognitywistyka i Media w Edukacji, 8, 177-188.

Chuderski, A., & Orzechowski, J. (2005). Mechanizm dwufazowego przeszukiwania pamięci roboczej: model obliczeniowy [The mechanism of two-phase search of working memory: 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 capacity and intelligence: An ACT-R computational model]. Studia Psychologiczne, 42, 111-124.

Chuderski, A. (2002). Klasyczne i hybrydowe architektury poznawcze [Classical and hybrid cognitive architectures]. Kognitywistyka i Media w Edukacji, 6, 231-250.

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With four parameters I can fit an elephant, and with five I can make him wiggle his trunk.

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Recent publications

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., & Smolen, T. (2016). An integrated utility-based model of conflict evaluation and resolution in the Stroop task. Psychological Review, 123(3), 255-290.

Senderecka, M. (2016) Threatening visual stimuli influence response inhibition and error monitoring: An event-related potential study, Biological Psychology, 113, 24-36.

Smolen, T., & Chuderski, A. (2015). The quadratic relationship between difficulty of intelligence test items and their correlations with working memory. Frontiers in Psychology, 6:1270, 1-13.

NEWS

Our recent research on fluid intelligence has been presented on Scientific American's webpage.