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Characterizing master fringes in competence-based knowledge space theory for personalized learning applications
In recent years, with the continuous development of educational modernization, personalized teaching has become an importa...
Dimensions of knowledge structures
In the theory of knowledge structures (KST), individual ability is represented by a so-called ‘knowledge state’, which is ...
A class of random utility models yielding the exploded logit
In a seminal publication more than four decades ago, Strauss (1979) presented groundbreaking findings. One of his key cont...
Analysing the bias introduced by adaptive designs to estimates of psychometric functions
Volume 124, March 2025, 102899Author links open overlay panel, , Highlights•Adaptive designs are employed to adjust the de...
Choosing is losing: How opportunity cost influences valuations and choice
In this paper, we propose a novel theory of choice that is especially relevant when one of the options is the default. We ...
Probabilistic models of delay discounting: “Fixed-endpoint” psychometric curves improve plausibility and performance
Humans and other animals exhibit a near-universal tendency to subjectively devalue future rewards as a function of their d...
Conjugate Bayesian analysis of the Wald model: On an exact drift-rate posterior
In cognitive psychology, simple response times are often modeled as the time required by a one-dimensional Wiener process ...
The assessment of global optimization skills in procedural knowledge space theory
Procedural knowledge space theory aims to evaluate problem-solving skills using a formal representation of a problem space...
An entropy model of decision uncertainty
Volume 125, May 2025, 102919Author links open overlay panelHighlights•A novel model was derived describing uncertainty as ...
Models of human probability judgment errors
Humans have remarkable abilities to reason under uncertainty: we can make reasonable predictions about whether it will rai...
Two formal notions of higher-order invariance detection in humans (A proof of the invariance equivalence principle in Generalized Invariance Structure Theory and ramifications for related computations)
Invariance and symmetry principles have played a fundamental if not essential role in the theoretical development of the p...
On the multiplicative inequality
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Lexicographic Majority
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Toward a unified perspective on assessment models, part I: Foundations of a framework
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Inferred representations behave like oscillators in dynamic Bayesian models of beat perception
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Measuring a thought
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Measuring the velocity of spatio-temporal attention waves
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Invariance of comparisons: Separation of item and person parameters beyond Rasch models
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A proposal for a Riemannian face space and application to atypical vs. typical face similarities
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A straightforward and valid correction to Nathoo et al.’s Bayesian within-subject credible interval
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Editorial: A celebration of A. A. J. Marley
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A Coupled Hidden Markov Model framework for measuring the dynamics of categorization
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A computational account of self-control
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Bayesian networks and knowledge structures in cognitive assessment: Remarks on basic comparable aspects
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Making valuations with the priority heuristic
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An accidental image feature that appears but not disappears
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Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making
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On the (non-) reliance on algorithms—A decision-theoretic account
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A tutorial on Bayesian inference for dynamical modeling of eye-movement control during reading
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The generalized Robbins–Monro process and its application to psychophysical experiments for threshold estimation
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