The human brain as one of the most complex dynamic systems enables us to communicate
and externalise information by natural language. Despite extensive research, human-like …

Grounded language acquisition is an important issue, particularly to facilitate human‐robot
interactions in an intelligent and effective way. The evolutionary and developmental …

The metaverse is the future of business applications and models, and this ground-breaking
book points and details a complete and clear picture of how the metaverse can impact the …

This paper presents a cognitive learning system for robot recognition and composite action
learning. The cognitive system of the robot is an artificial neural network trained to recognize …

The question how neural systems (of humans) can perform reasoning is still far from being
solved. We posit that the process of forming Concepts is a fundamental step required for this …

Despite their significant advancements, conventional supervised learning models can be
resource-intensive and expensive due to their reliance on large amounts of annotations. Self …

Often in robotics natural language processing is used simply to improve the human-machine
interaction. However, language is not only a powerful communication tool: it is deeply linked …

Language-Centered Intelligence (LCI) is an approach to artificial intelligence currently under
development at the University of Idaho. In this approach, the existing intervehicle …

Cross-situational word learning is based on the notion that a learner can determine the
referent of a word by finding something in common across many observed uses of that word …

In this paper the authors present the development of a scene-based episodic memory
module for the cognitive architecture controlling an autonomous virtual creature, in a …