- A Comparison of Rule|Based versus Exemplar|Based ...🔍
- A comparison of rule|based versus exemplar|based categorization ...🔍
- A Comparison of Rule|Based versus Exemplar ...🔍
- A Comparison of Rule and Exemplar|Based Learning Systems🔍
- Comparing Exemplar| and Rule| Based Theories of Categorization🔍
- Distinguishing rule| and exemplar|based generalization in learning ...🔍
- Models of quantitative estimations🔍
- [PDF] A Comparison of Rule|Based versus Exemplar|Based ...🔍
Comparison of Rule|Based and Exemplar Models
The use of cognitive models that implement descriptive theories allows for quantitative comparisons of the theories. ACT-R has been used previously to compare ...
A comparison of rule-based versus exemplar-based categorization ...
Both models were developed using the ACT-R architecture. Both approaches yield similar accuracy and are relatively impervious to varying model parameters ...
A Comparison of Rule-Based versus Exemplar ... - ResearchGate
A rule-based approach to categorization is compared with an exemplar-based approach. Both models were developed using the ACT-R architecture ...
based on exemplar representations with such rule learning systems. A ny concept learning system must address the problem of how to transfer knowledge from ...
A comparison of rule-based versus exemplar-based categorization ...
A rule-based approach to categorization is compared with an exemplar-based approach. Both models were developed using the ACT-R architecture.
Comparing Exemplar- and Rule- Based Theories of Categorization
Rule- and exemplar-based models make different predictions for how participants should classify stimuli. Figure 2B shows rule-based prediction: A reasonable ...
Distinguishing rule- and exemplar-based generalization in learning ...
Spurious correlation (Eq. (3)). in this work compare model extrapolation to the held-out test quadrant across various training conditions.
Models of quantitative estimations: rule-based and exemplar-based ...
Rule-based models, such as the mapping model, assume the abstraction of explicit task knowledge. In contrast, exemplar models should profit if storage and ...
[PDF] A Comparison of Rule-Based versus Exemplar-Based ...
A rule-based approach to categorization is compared with an exemplar-based approach. Both models were developed using the ACT-R architecture. Both ...
Distinguishing rule- and exemplar-based generalization in learning ...
We isolate two such inductive biases: feature-level bias (differences in which features are more readily learned) and exemplar or rule bias ( ...
Evaluating XAI: A comparison of rule-based and example-based ...
Our results show that rule-based explanations have a small positive effect on system understanding, whereas both rule- and example-based explanations seem to ...
Comparison of Rule-Based and Exemplar Models - ResearchGate
Download Table | Comparison of Rule-Based and Exemplar Models from publication: A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ...
A Comparison of Rule and Exemplar-Based Learning Systems
Recently, there has been renewed interest in the use of exemplar-based schemes for concept representation and learning. In this paper, we compare systems ...
Comparing Categorization Models - PMC
Four experiments are presented that competitively test rule- and exemplar-based models of human categorization behavior.
Comparing Exemplar- and Rule-Based Theories of Categorization
Initially, categorization is based on rules. During learning, suitable features for discriminating stimuli may be gradually learned. Then, stimuli can be stored ...
Publications » A Comparison of Rule-Based versus Exemplar ...
A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture. (2012). Authors. Christian Lebiere, Robert H Thomson, ...
Distinguishing rule and exemplar-based generalization in learning ...
We isolate two such inductive biases: feature-level bias (differences in which features are more readily learned) and exemplar-vs-rule bias (differences in how ...
The new stimulus is assigned to a category based on the greatest number of similarities it holds with exemplars in that category. For example, the model ...
Distinguishing rule- and exemplar-based generalization in learning...
We investigate two distinct such inductive biases: feature-level bias (differences in which features are more readily learned) and exemplar-vs- ...
Models of quantitative estimations: Rule-based and exemplar-based ...
The mapping model predicts large differences between estimates for objects when they have different cue sums—for instance, objects with cue sums of 2 and 4. In ...