Three experiments with a methodology called inductive categorization examined 1216-, and 20-month-olds’ categorization of animals and vehicles with and without functional parts as well as their inductive inferences about the motion properties of the objects in these classes. The experiments showed that infants at 12 months use object parts to categorize after a brief learning period, infants at...

It has long been assumed that the stress-timed vs. syllabletimed dichotomy is based on perceptual impressions of speech rhythm. However, experimental tests are rare in the literature and not all of them have successfully found perceptual evidence for speech rhythm categorization. Experimental protocols have been very different, sometimes testing naïve vs. non-naïve listeners, sometimes using na...

The present paper investigates how embodied and situated agents perform tasks that require skills of categorization. The agents are artificially created by an adaptation process. The task is to categorize different shapes of objects using sensory-motor and linguistic input. Results show that the autonomous agents are able to solve the categorization task by integrating the sensory-motor experie...

Digitized textual information is an increasingly common repository for organizational memory. This paper describes an AI based tool that was developed at the University of Arizona which can be used to organize, categorize and extract digitized textual information from a Group Support System (GSS), GroupSystems V@. The first sections describe two experiments which measured the tool’s ability to ...

People use facial features (e.g., face shape, skin color, eye structure) both in isolation and in combination to identify others as members of a variety of social categories. For some categories (e.g., age, race, and sex), the markers are obvious and people categorize their members almost perfectly. For others, however (e.g., political affiliation, religious following, and sexual orientation), ...

How does interaction affect categorization, and how might this vary between native and non-native speakers? When people use shared labels to categorize objects, they categorize more similarly to each other. We investigated whether interaction leads non-native speakers to categorize in the same way as native speakers. In six rounds, L1-English and L2-English/L1Mandarin speakers individually cate...

Blogs are difficult to categorize by humans and machines alike, because they are written in a capricious style. In the early days of web, directories maintain by humans could not keep up millions the websites; likewise, blog directories cannot keep up with the explosive growth of the blogsphere. This paper investigates the efficacy of using machine learning to categorize blogs. We design a text...