Rule-based and exemplar-based classification in artificial grammar learning

Artificial grammar learning of shape-based noun classification

Systems of noun classification serve to categorize entities based on a set of semantic and/or phonological features. Previous work, for the most part focused on gender-based classes, has suggested that learners acquiring such systems rely primarily on phonological cues, while semantic cues are used only weakly. We show, using an artificial language learning task with adults, that semantic infor...

A Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems

Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and  interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...

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 learning concepts represented in this form with those which learn concepts represented by decision rules, such as the ID3 and AQ11 rule induction systems. We aim to clarify the distinction between the two representational schemes, and compare ...

Classification Response Times in Probabilistic Rule-Based Category Structures: Contrasting Exemplar-Retrieval and Decision-Bound Models

Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models.

Experiments were conducted to contrast the predictions from exemplar models and rule-based decision-boundary models of perceptual classification. Observers classified multidimensional stimuli into categories that could be described in terms of easily verbalized logical rules. The critical manipulation was that some pairs of stimuli received probabilistic feedback, whereas other control pairs re...