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The Society
Affiliate societies Awards Bylaws Code of conduct Donations Executive committee History Mailing lists Membership News archive Newsletter
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Future events MathPsych / ICCM 2024 Virtual MathPsych/ICCM 2024 Math Psych at Psychonomics 2023 (archived) MathPsych/ICCM/EMPG 2023 (archived) Virtual MathPsych/ICCM 2023 (archived) MathPsych at Psychonomics 2022 (archived) In-Person MathPsych/ICCM 2022 (archived) Virtual MathPsych/ICCM 2022 (archived) MathPsych at Virtual Psychonomics 2021 (archived) Virtual MathPsych/ICCM 2021 (archived) Australasian Mathematical Psychology Conference 2021 (archived) MathPsych at Virtual Psychonomics 2020 (archived) Virtual MathPsych/ICCM 2020 (archived) Older events Popular talks
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Computational Brain & Behavior Journal of Mathematical Psychology Press releases
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SMP 2023
De Brug | Poster

De Brug | Poster
Nieuwe Achtergracht 166, 1018 WV Amsterdam

Posters: Statistics & Bayesian Models
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Details
Jul 19 @ 17:00 UTC - Jul 19 @ 20:00 UTC
Public session
Presentations
Type I error rates for ANOVA, GLM, and GLMM for binary outcomes when simulating from binomial logistic model and Ratcliff diffusion model
Ms. Yiming Wang, Ms. Ruslana Tymchyk, Dr. Henrik Singmann
Bayesian-frequentist p-values: The best of both worlds
Ms. Megan Oh, Dr. Henrik Singmann, Mr. Max Maier
Quantitatively fitting the Autocorrelated Bayesian Sampler to accuracy and response time data
Mr. Yun-Xiao Li, Lucas Castillo, Johanna Falben, Prof. Adam Sanborn
Markov-switching models enable precise recovery of cognitive events from trial-level pupil dilation time courses
Joshua Krause, Dr. Jelmer Borst, Jacolien van Rij
Cross-modal matching and internal references
Katharina Naumann, Juergen Heller
Error analysis and error modeling
Shan Wang, Frank E Ritter
Contiguity Effect Is Asymmetric Across Pairs, How About Within?
Tuba Hato, Asli Kilic
Estimating multilevel signal detection theory models using maximum likelihood
Marie Jakob, Dr. Raphael Hartmann, Prof. Christoph Klauer
Posters: Decision Making & Evidence-Accumulation Models
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Details
Jul 19 @ 17:00 UTC - Jul 19 @ 20:00 UTC
Public session
Presentations
On the consistency and relative efficiency of a generalized Robbins-Monro process for threshold estimation
Dr. Yung-Fong Hsu, Hau-Hung Yang
The role of task-relevant and task-irrelevant information in congruency sequence effects: Applying the diffusion model for conflict tasks
Valentin Koob, Ian Mackenzie, Rolf Ulrich, Hartmut Leuthold, Markus Janczyk
How expectations influence scene gist recognition: A diffusion model analysis.
Andreas Voss, Shanqing Gao
Exploring the Feasibility of Across-Trial Variability in Boundary Separation
Kianté Fernandez, Dr. Blair Shevlin, Roger Ratcliff, Prof. Ian Krajbich
Quantum Zeno effect in decision-making: time delay and no information about previous responses reduce coherence
Axel Perini, Giorgio Gronchi, Franco Bagnoli, Maria Pia Viggiano
The Effects of Non-Diagnostic Information on Confidence and Decision Making.
Dr. Amelia Kohl
Can self-generated choice options result in reduced choice satisfaction?
Marc-Lluís Vives, Pablo Leon Villagra
Seeing What You Believe: Cognitive Mechanisms of Flexible Integration of Priors in Visual Decisions
Ms. Gabriela Iwama, Dr. Randolph Helfrich
Comparing Amortized to MCMC-based Bayesian Inference for Cognitive Models of the Stop-Signal Paradigm
Leonhard Volz, Dr. Dora Matzke, Dr. Michael D. Nunez, Prof. Andrew Heathcote
Towards utilizing evidence accumulation models in applied settings – using informative prior distributions to decrease sample size demands
Mr. Dominik Bachmann, Leendert Van Maanen
Posters: Learning
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Details
Jul 19 @ 17:00 UTC - Jul 19 @ 20:00 UTC
Public session
Presentations
A Bayesian graphical model for matching law behavior
Luis Baroja, Joachim Vandekerckhove
Learning in the Context of Partial Information
Ms. Nicole King, Dr. Brandon Turner, Dr. Emily Weichart, Vladimir Sloutsky
Convergent hierarchical curiosity loops in a multi-objective intrinsic reinforcement learning agent
Ms. Gal Aviram, Prof. Goren Gordon
Catastrophes in learning: Dynamical system models for the reciprocal relation between practice and success
Mr. Pritam Laskar, Prof. Han van der Maas
Extending the basic local independence model for the assessment of (un)learning items in knowledge space theory
Martin Losert, Alice Maurer, Juergen Heller
Alleviating 4 Million Cold Starts in Adaptive Fact Learning
Dr. Maarten van der Velde, Florian Sense, Dr. Jelmer Borst, Hedderik van Rijn
Cognitive and Meta-cognitive Signatures of Memory Retrieval Performance in Spoken Word Learning
Mr. Thomas Wilschut, Florian Sense, Hedderik van Rijn
Posters: AI & ACT-R
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Details
Jul 19 @ 17:00 UTC - Jul 19 @ 20:00 UTC
Public session
Presentations
The Comparison of Operating System Timing Performances in Interval Timing Study Using the AGI
Behiye Sahin, Sonay Duman
Using ACT-R to model racial biases in a semantic knowledge graph
Deja Workman, Chris Dancy
Modeling A Human-AI Cooperation Task In ACT-R
Chris Dancy, Tanishca Sanjay Dwivedi
An ACT-R Observer Model for Anticipatory Assistive Robots
Dr. Chenxu Hao, Mr. Colin Halupczok, Dr. Winfried Ilg, Dr. Daniel Haeufle, Dr. Philipp Beckerle, Prof. Nele Russwinkel
Comparing Capacity Estimates for Genuinely No-signal vs Target Absent in Systems Factorial Technology
Allan Collins, Gaojie Fan, Ms. Peyton Corbi, Robin D. Thomas
GPT-Jass : A Text-to-model Pipeline for ACT-R Models
Dr. Anthony Harrison, Greg Trafton, Laura Hiatt
Embodied communication model in ACT-R based robot
Mr. Jumpei Nishikawa, Mr. Kosuke Sasaki, Prof. Junya Morita, Mr. Alexis Meneses, Dr. Kazuki Sakai, Prof. Yuichiro Yoshikawa
Posters: Experimental Design & Tasks
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Details
Jul 19 @ 17:00 UTC - Jul 19 @ 20:00 UTC
Public session
Presentations
Assessing Subject Parameter Recovery in Extended Encoding and Updating M3 Models: Implications for Experimental Design
Dr. Gidon Frischkorn, Klaus Oberauer, Anna-Lena Schubert, Jan Göttmann
Careless responses in questionnaire data: A knowledge structure perspective on the detection performance
Alice Maurer, Juergen Heller
Risky choices with potentially ‘fatal’ outcomes: Introducing the Extinction Gambling Task
Mr. Max Maier, David Kellen, Prof. Adam Harris, Dr. Henrik Singmann
Bayesian hierarchical Ornstein-Uhlenbeck models for intervention designs
Ms. Kathleen Medriano, Zita Oravecz, Joachim Vandekerckhove
Modeling strategy differences in a complex fault-finding task
Shan Wang, Frank E Ritter
Past sessions
Posters: Statistics & Bayesian Models
8
 Posters: Decision Making & Evidence-Accumulation Models
10
 Posters: Learning
7
 Posters: Perception, Cognition, Memory, Neuroscience, Language
9
 Posters: AI & ACT-R
7
 Posters: Applied & Meta-Science
9
 Posters: Social
5
 Posters: Experimental Design & Tasks
5
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