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Premise typicality as feature inference decision-making in perceptual categories
Making property inferences for category instances is important and has been studied in two largely separate areas—categorical induction and...
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Action imagery as active inference: a commentary on Rieger et al. (2023)
Rieger et al. (Psychol Res 2023:1–10, 2023) describe action imagery as motor simulation. Inverse models encode predicted action effects and compute...
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Hierarchical inference as a source of human biases
The finding that human decision-making is systematically biased continues to have an immense impact on both research and policymaking. Prevailing...
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Comparing methods of category learning: Classification versus feature inference
Categories have at least two main functions: classification of instances and feature inference. Classification involves assigning an instance to a...
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Role of Culture in Meaning Making: Bridging Semiotic Cultural Psychology and Active Inference
This essay takes up the framework of Semiotic Cultural Psychology, which in last decade was very productive in analyzing societal phenomena. Digging...
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Adaptive visual selection in feature space
Visual perception relies on efficient selection of task-relevant information for prioritized processing. A prevalent mode of selection is...
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Bayesian Inference and Models in AP
We begin with the Bayes theorem, which combines a priori information with information from the data to create a posterior conditional probability,...
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Feature Selection in AP
In machine learning, there is often a large range of possible features to use for classification into groups. This chapter concentrates on methods of...
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Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flip** Score Test
When analyzing data, researchers make some choices that are either arbitrary, based on subjective beliefs about the data-generating process, or for...
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Word Knowledge Dimensions in L2 Lexical Inference: Testing Vocabulary Knowledge and Partial Word Knowledge
This study explored the role of word knowledge dimensions in second language (L2) word-meaning inference. College-level L2 learners ( N = 121)...
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Feature Attention as a Control Mechanism for the Balance of Speed and Accuracy in Visual Search
Finding an object amongst a cluttered visual scene is an everyday task for humans but presents a fundamental challenge to computational models...
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Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
Behavioral science researchers have shown strong interest in disaggregating within-person relations from between-person differences (stable traits)...
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Temporal integration of feature probability distributions
Humans are surprisingly good at learning the statistical characteristics of their visual environment. Recent studies have revealed that not only can...
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PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
Many decision-making theories are encoded in a class of processes known as evidence accumulation models (EAM). These assume that noisy evidence...
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Inference and Expectation
Study of how we come to know—the nature of modeling and anticipation of our unpredictable, often dangerous environment—is the province of...
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A method for detection of inattentional feature blindness
In ensemble displays, two principal factors determine the precision with which the mean value of some perceptual attribute, such as size and...
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Easy as 1, 2, 3: On the Short History of the Use of Affordance in Active Inference
This short editorial is about the manner in which the construct of affordance figures in the active inference framework. First, I review the short...
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Recent Work in Probability and Inference
Chapter 10 endeavors first to supply a fuller context for the evaluation of Bayesian claims by looking at both the philosophical and psychological...
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Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model
Saturated diagnostic classification models (DCM) can flexibly accommodate various relationships among attributes to diagnose individual attribute...
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A starring role for inference in the neurocognition of visual narratives
Research in verbal and visual narratives has often emphasized backward-looking inferences, where absent information is subsequently inferred....
