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Iris van Rooij
Researcher at Radboud University Nijmegen
Publications - 92
Citations - 2144
Iris van Rooij is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Cognition & Computational complexity theory. The author has an hindex of 26, co-authored 86 publications receiving 1739 citations. Previous affiliations of Iris van Rooij include Nijmegen Institute for Cognition and Information & Eindhoven University of Technology.
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The Tractable Cognition Thesis
TL;DR: How and why the P-Cognition thesis may be overly restrictive is explained, risking the exclusion of veridical computational-level theories from scientific investigation, and an argument is made to replace the Tractable Cognition thesis by the FPT-Cognitive thesis as an alternative formalization.
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Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science.
Iris van Rooij,Giosuè Baggio +1 more
Abstract: Drawing on the philosophy of psychological explanation, we suggest that psychological science, by focusing on effects, may lose sight of its primary explananda: psychological capacities. We revisit Marr's levels-of-analysis framework, which has been remarkably productive and useful for cognitive psychological explanation. We discuss ways in which Marr's framework may be extended to other areas of psychology, such as social, developmental, and evolutionary psychology, bringing new benefits to these fields. We then show how theoretical analyses can endow a theory with minimal plausibility even before contact with empirical data: We call this the theoretical cycle. Finally, we explain how our proposal may contribute to addressing critical issues in psychological science, including how to leverage effects to understand capacities better.
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Understanding motor resonance
TL;DR: By discussing an experiment, it is shown that more precise definitions and use of the concepts will allow for better assessments of motor theories of action understanding and hence a more fruitful scientific debate.
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Bayesian Intractability Is Not an Ailment That Approximation Can Cure
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Beta- and gamma-band activity reflect predictive coding in the processing of causal events
Stan van Pelt,Lieke Heil,Johan Kwisthout,Sasha Ondobaka,Sasha Ondobaka,Iris van Rooij,Harold Bekkering +6 more
TL;DR: In this paper, the authors used magnetoencephalography to investigate neural activity during probability-dependent action perception in three areas pivotal for causal inference, superior temporal sulcus, temporoparietal junction and medial prefrontal cortex, using bowling action animations.