One of the original goals of artificial intelligence (AI) research was to create machines with
very general cognitive capabilities and a relatively high level of autonomy. It has taken the …

A novel approach to STEAM learning that engages students from historically marginalized
communities in culturally relevant and inclusive maker education. The growing maker …

Abstract As Artificial Intelligence (AI) planning is utilised in industry to address complex real-
world problems, the need for the construction of advanced and deployable AI planning …

This article presents a new approach for generating believable social behavior in avatars.
The focus is on human territorial behaviors during social interactions, such as during …

The development of artificial intelligence (AI) systems has to date been largely one of
manual labor. This constructionist approach to AI has resulted in systems with limited …

Abstract “Elckerlyc” is a BML Realizer for generating multimodal verbal and nonverbal
behavior for Virtual Humans (VHs). The main characteristics of Elckerlyc are that (1) it is …

The broad range of capabilities exhibited by humans and animals is achieved through a
large set of heterogeneous, tightly integrated cognitive mechanisms. To move artificial …

Giving synthetic agents human-like realtime turntaking skills is a challenging task. Attempts
have been made to manually construct such skills, with systematic categorization of …

We have developed the Cognitive Map robot architecture that minimizes the amount of
rewriting of existing legacy software for integration. The Cognitive Map can be thought of as …

The general intelligence of any autonomous system must in large part be measured by its
ability to automatically learn new skills and integrate these with prior skills. Cognitive …