Révész | CUBE 217
at
at
Workshop: How To Publish And Evaluate Your Model
Details
Jul 19 @ 10:00 CEST
- Jul 19 @ 13:30 CEST
Public session
This tutorial draws from a book in process about design patterns in cognitive modeling, tentatively titled Design patterns in modeling and HCI. It will be published by Oxford University Press. “How to publish your model” provides general comments on publishing reports of models and the steps in modeling and simulation. It notes the importance of writing and of the final results. It describes the various types of outputs, including talks and publications. It provides a detailed process for handing the preparation, submission, and revision of a paper reporting a model, particularly about the importance of staying in touch with stakeholders. It also talks about how to present a model as well as providing some advice on how to write a conference paper and a journal article in these areas. “How to evaluate your model” introduces the basic concepts in evaluating a model, which is done after describing the model and its behavior. After debunking the concept of proving a model, this chapter presents the case that you would like to do two fundamental things: show that the model is worth taking seriously, both to yourself and to others, and to know where to improve it. This chapter notes methods and design patterns for doing these two tasks looking at non-numeric, simple, and advanced methods that have been used, using a score card as a way to summarize the fit. It will also address interactions of these tasks with publishing your model.
Presentations
How to publish and evaluate your model
Memory
Details
Jul 20 @ 10:00 CEST
- Jul 20 @ 11:40 CEST
In-person session
Presentations
How cognitive load and cognitive reflection impact probability judgments?
Semantic Similarity and Context Cues alleviate Set-size Effects on Long-Term Memory Retrieval Times
Working memory, attention and executive control in digit span tasks
Neurocognitive psychometrics of interindividual differences in working memory
The REM model of Shiffrin & Steyvers (1997) Predicts 2AFC and Four-way Classification (4WC)
Statistics
Details
Jul 20 @ 14:00 CEST
- Jul 20 @ 15:40 CEST
In-person session
Presentations
The Dark Side of Sequential Testing: A Simulation Study on Questionable Research Practices
Exploring non-linear trajectories in intensive longitudinal data: A comprehensive review of the available statistical methods
Generalized Bayesian hierarchical structural equation modeling
Spurious correlations in cognitive models: Bayesian hierarchical modeling to the rescue
Assessing the relevance of random effects for statements in mixed-effects models of the illusory truth effect
Evidence Accumulation & Neuroscience
Details
Jul 21 @ 10:00 CEST
- Jul 21 @ 11:20 CEST
In-person session
Presentations
Hidden multivariate pattern analysis reveals the duration of encoding and decision processes in single-trial EEG data
Risky Choice 2
Details
Jul 21 @ 11:40 CEST
- Jul 21 @ 13:00 CEST
In-person session
Presentations
Decomposing financial decision-making with feedback
Choose for others as you would choose for yourself? A layered analysis of probabilistic preferential choice
Risk Seeking and Risk Aversion in Choices and Valuations from Experience
Signal Detection Theory
Details
Jul 21 @ 15:20 CEST
- Jul 21 @ 16:40 CEST
In-person session
Presentations
Two perspectives on decisions under risk and uncertainty: Modeling discrepancies and their psychological explanations
An empirical test of the two-high-threshold contrast model
Time-variant payoffs and signal detection theory
Reconciling signal-detection models of criterion learning with the generalized matching law
Mental Processes & Health
Details
Jul 22 @ 10:00 CEST
- Jul 22 @ 11:20 CEST
In-person session
Presentations
Reassessing Violence Severity: A Novel Approach Using Pairwise Choice Questions and Order Constraint Models
A drift diffusion modeling investigation of altered self-referential social perception in psychosis and bipolar disorder
Exploring stimulus- and action-value reinforcement learning in Parkinson’s disease
Symposium: Deep Learning And Simulation-Based Inference For Computational Cognitive Modeling
Details
Jul 22 @ 11:40 CEST
- Jul 22 @ 17:00 CEST
In-person session
Presentations
Unveiling the Hidden: Machine Learning Approaches for the Discovery of Latent Structures
Integrating efficient sensitivity analyses into amortized Bayesian workflows
Validation and comparison of non-stationary cognitive models: A diffusion model application
Amortized Bayesian inference with hybrid expert-in-the-loop and learnable summary statistics
Using simulation-based Bayesian inference to explore the unidentified spaces of (neuro-)cognitive models
TogetherFlow: Bayesian simulation-based emergent attentional dynamics in room-oriented immersive systems
Invertible neural networks for simulation-based prior knowledge elicitation
Assessing the robustness of amortized Bayesian inference for evidence-accumulation models applied to different experimental designs