Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
Complexity of today's systems prevents designers from knowing everything about them and makes engineering them a difficult task for which classical engineering approaches are ...
This paper presents a way of improving computerbased with lifelike presence in learning environment. The approach combines Intelligent Tutoring Systems with research on human emot...
Ontologies are an emerging paradigm to support declarativity, interoperability, and intelligent services in many areas, such as Agent–based Computation, Distributed Information ...
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...