Leendert van Maanen
Biographic Data
| ID | 8776718 |
|---|---|
| NAME | Leendert van Maanen |
| GIVEN NAMES | Leendert |
| FAMILY NAME | van Maanen |
| SIGNATURE | VAN MAANEN L |
| AFFILIATIONS | Utrecht University |
| ORCID | 0000-0001-9120-1075 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Adult learning of a novel quantifier tracks semantic universals
Natural languages share common properties called universals. In the domain of quantification, three semantic universals were discovered: monotonicity (convexity), quantity, and conservativity. Researchers have been trying to explain the origin of semantic universals for decades. In this study, we tested one of the proposed explanations, the learnability hypothesis. According to this hypothesis, quantifiers that satisfy universals are easier to le…
Understanding Navon
When perceiving visual information, either the local parts or more commonly the global whole can dominate on a perceptual-cognitive level (local/global bias). Using hierarchical figures consisting of smaller local elements forming a larger global shape, researchers have tried to understand how this local–global bias emerges. However, despite extensive research, local–global biases remain an elusive concept (possibly partially due to inadequacies …
Shifting reliance between the internal and external world
Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems – an attempt to overcome the sample size roadblock
For the foreseeable future, automated vehicles (AVs) will coexist on the roads with human drivers. To avoid accidents, AVs will require knowledge on how human drivers typically make high-stakes and time-sensitive decisions (e.g., whether or not to brake). Providing such insights could be statistical models designed to explain human information processing and decision making. This paper attempts to address a roadblock that prevents one class of su…
Most quantifiers have many meanings
In this paper, we investigate, by means of a computational model, how individuals map quantifiers onto numbers and how they order quantifiers on a mental line. We selected five English quantifiers ( few , fewer than half , many , more than half , and most ) which differ in truth conditions and vagueness. We collected binary truth value judgment data in an online quantifier verification experiment. Using a Bayesian three-parameter logistic regress…
The Bayesian Mutation Sampler Explains Distributions of Causal Judgments
One consistent finding in the causal reasoning literature is that causal judgments are rather variable. In particular, distributions of probabilistic causal judgments tend not to be normal and are often not centered on the normative response. As an explanation for these response distributions, we propose that people engage in ‘mutation sampling’ when confronted with a causal query and integrate this information with prior information about that q…
Quantifiers satisfying semantic universals have shorter minimal description length
Despite wide variation among natural languages, there are linguistic properties thought to be universal to all or nearly all languages. Here, we consider universals at the semantic level, in the domain of quantifiers, which are given by the properties of monotonicity, quantity, and conservativity, and we investigate whether these universals might be explained by differences in complexity. First, we use a minimal pair methodology and compare the c…
Specificity and sensitivity of the fixed-point test for binary mixture distributions
When two cognitive processes contribute to a behavioral output-each process producing a specific distribution of the behavioral variable of interest-and when the mixture proportion of these two processes varies as a function of an experimental condition, a common density point should be present in the observed distributions of the data across said conditions. In principle, one can statistically test for the presence (or absence) of a fixed point …
The interpretation of behavior-model correlations in unidentified cognitive models
The rise of computational modeling in the past decade has led to a substantial increase in the number of papers that report parameter estimates of computational cognitive models. A common application of computational cognitive models is to quantify individual differences in behavior by estimating how these are expressed in differences in parameters. For these inferences to hold, models need to be identified, meaning that one set of parameters is …
No prominent works on this page.
The interpretation of behavior-model correlations in unidentified cognitive models
The rise of computational modeling in the past decade has led to a substantial increase in the number of papers that report parameter estimates of computational cognitive models. A common application of computational cognitive models is to quantify individual differences in behavior by estimating how these are expressed in differences in parameters. For these inferences to hold, models need to be identified, meaning that one set of parameters is …
The Bayesian Mutation Sampler Explains Distributions of Causal Judgments
One consistent finding in the causal reasoning literature is that causal judgments are rather variable. In particular, distributions of probabilistic causal judgments tend not to be normal and are often not centered on the normative response. As an explanation for these response distributions, we propose that people engage in ‘mutation sampling’ when confronted with a causal query and integrate this information with prior information about that q…
Quantifiers satisfying semantic universals have shorter minimal description length
Despite wide variation among natural languages, there are linguistic properties thought to be universal to all or nearly all languages. Here, we consider universals at the semantic level, in the domain of quantifiers, which are given by the properties of monotonicity, quantity, and conservativity, and we investigate whether these universals might be explained by differences in complexity. First, we use a minimal pair methodology and compare the c…
Specificity and sensitivity of the fixed-point test for binary mixture distributions
When two cognitive processes contribute to a behavioral output-each process producing a specific distribution of the behavioral variable of interest-and when the mixture proportion of these two processes varies as a function of an experimental condition, a common density point should be present in the observed distributions of the data across said conditions. In principle, one can statistically test for the presence (or absence) of a fixed point …
Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems – an attempt to overcome the sample size roadblock
For the foreseeable future, automated vehicles (AVs) will coexist on the roads with human drivers. To avoid accidents, AVs will require knowledge on how human drivers typically make high-stakes and time-sensitive decisions (e.g., whether or not to brake). Providing such insights could be statistical models designed to explain human information processing and decision making. This paper attempts to address a roadblock that prevents one class of su…
Most quantifiers have many meanings
In this paper, we investigate, by means of a computational model, how individuals map quantifiers onto numbers and how they order quantifiers on a mental line. We selected five English quantifiers ( few , fewer than half , many , more than half , and most ) which differ in truth conditions and vagueness. We collected binary truth value judgment data in an online quantifier verification experiment. Using a Bayesian three-parameter logistic regress…
Understanding Navon
When perceiving visual information, either the local parts or more commonly the global whole can dominate on a perceptual-cognitive level (local/global bias). Using hierarchical figures consisting of smaller local elements forming a larger global shape, researchers have tried to understand how this local–global bias emerges. However, despite extensive research, local–global biases remain an elusive concept (possibly partially due to inadequacies …
Shifting reliance between the internal and external world
Adult learning of a novel quantifier tracks semantic universals
Natural languages share common properties called universals. In the domain of quantification, three semantic universals were discovered: monotonicity (convexity), quantity, and conservativity. Researchers have been trying to explain the origin of semantic universals for decades. In this study, we tested one of the proposed explanations, the learnability hypothesis. According to this hypothesis, quantifiers that satisfy universals are easier to le…
Computer Science (6 works) · Psychology (5 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Algorithm (2 works) · Bayesian probability (2 works) · Child and Animal Learning Development (2 works) · Cognition (2 works) · Decision-Making and Behavioral Economics (2 works) · Econometrics (2 works)