ion and relational learning Charles Kemp & Alan Jern Department of Psychology Carnegie Mellon University {ckemp,ajern}@cmu.edu Abstract Most models of categorization learn categories defined by characteristic features but some categories are described more naturally in terms of relations. We present a generative model that helps to explain how relational categories are learned and used. Our mod...

The internal competition between categories in the adaptive resonance theory (ART) neural model can be biased by replacing the original choice function by one that contains an attentional tuning parameter under external control. For the same input but different values of the attentional tuning parameter, the network can learn and recall different categories with different degrees of generality,...

The uncanny valley hypothesis predicts that an entity appearing almost human risks eliciting cold, eerie feelings in viewers. Categorization-based stranger avoidance theory identifies the cause of this feeling as categorizing the entity into a novel category. This explanation is doubtful because stranger is not a novel category in adults; infants do not avoid strangers while the category strang...

Approaches to Human-Agent Modeling can broadly be categorized as the use of agents to emulate (1) the outcome and (2) the process of human behavior. The first category can be further sub-divided into emulating the outcomes produced by individual humans and by groups of humans. This position paper proposes this categorization as the core of a unified theory of human-modeling.

We apply the "wisdom of the crowd" idea to human category learning, using a simple approach that combines people's categorization decisions by taking the majority decision. We first show that the aggregated crowd category learning behavior found by this method performs well, learning categories more quickly than most or all individuals for 28 previously collected datasets. We then extend the ap...

This paper aims at presenting the preparation for Schema Theory, including language and cognition, construal, categorization. Also, it shows definition history of schema, highlighting role schema building as a powerful approach maximizing International English Language Testing System listening teaching, expounding benefits challenges theory in IELTS teaching well making recommendations teachers...

Text categorization is an important research area and has been receiving much attention due to the growth of the on-line information and of Internet. Automated text categorization is generally cast as a multi-class classification problem. Much of previous work focused on binary document classification problems. Support vector machines (SVMs) excel in binary classification, but the elegant theor...