In order to successfully guide generalization of knowledge, category representation needs to be both: flexible enough to account for new evidence and stable enough to resist harmful change. Here we present a set of experiments designed to test how items that violate our expectations (i.e., category exceptions) affect category representation. Specifically, we wanted to know whether learning a category exception can change category boundaries. Does learning about penguins changes the way we think about birds? Do features of penguins contribute to making decisions as to whether a novel item is a bird? Across two experiments we found evidence that exceptions can change category boundaries and thus significantly affect future generalization. We ...
Young children expect members of a familiar category to share nonobvious properties. The present exp...
Two experiments investigated whether 4- and 5-year-old children are sensitive to whether the content...
Six experiments investigated the effects of background knowledge on category construction. In catego...
The learning of rule-plus-exception categories relies on pattern integration and differentiation, bu...
Category knowledge can be explicit, yet not conform to a perfect rule. For example, a child may acqu...
Abstract Category learning helps us process the influx of information we experience daily. A common ...
Most studies of human category learning involve category structures that do not change, or that chan...
Category learning is our ability to generalize across experiences and apply existing knowledge to ne...
Many theories of category learning assume that learning is driven by a need to minimize classificati...
Early theories of categorization assumed that either rules, or prototypes, or exemplars were exclusi...
The curse of dimensionality, which has been widely studied in statistics and machine learning, occur...
The curse of dimensionality, which has been widely studied in statistics and machine learning, occur...
This paper considers whether information about the logical structure of a category affects how peopl...
Learning to categorize objects in the world is more than just learning the specific facts that chara...
Models of category learning often assume that exemplar features are learned in proportion to how muc...
Young children expect members of a familiar category to share nonobvious properties. The present exp...
Two experiments investigated whether 4- and 5-year-old children are sensitive to whether the content...
Six experiments investigated the effects of background knowledge on category construction. In catego...
The learning of rule-plus-exception categories relies on pattern integration and differentiation, bu...
Category knowledge can be explicit, yet not conform to a perfect rule. For example, a child may acqu...
Abstract Category learning helps us process the influx of information we experience daily. A common ...
Most studies of human category learning involve category structures that do not change, or that chan...
Category learning is our ability to generalize across experiences and apply existing knowledge to ne...
Many theories of category learning assume that learning is driven by a need to minimize classificati...
Early theories of categorization assumed that either rules, or prototypes, or exemplars were exclusi...
The curse of dimensionality, which has been widely studied in statistics and machine learning, occur...
The curse of dimensionality, which has been widely studied in statistics and machine learning, occur...
This paper considers whether information about the logical structure of a category affects how peopl...
Learning to categorize objects in the world is more than just learning the specific facts that chara...
Models of category learning often assume that exemplar features are learned in proportion to how muc...
Young children expect members of a familiar category to share nonobvious properties. The present exp...
Two experiments investigated whether 4- and 5-year-old children are sensitive to whether the content...
Six experiments investigated the effects of background knowledge on category construction. In catego...