This paper presents an overview of the mathematical approaches to modeling crowd
dynamics by taking into account the complexity of living systems. The contents refer to the …

This paper presents a first attempt at explaining the relationship between the psychological
and artificial intelligence points of view of learning with a special focus on social learning. A …

This paper is concerned with mathematical modeling of intelligent systems, such as human
crowds and animal groups. In particular, the focus is on the emergence of different self …

This paper introduces a neurologically inspired computational model for the dynamics and
diffusion of agent states within groups. The model combines an individual model based on …

A continuous-time Markov process is proposed to analyze how a group of humans solves a
complex task, consisting in the search of the optimal set of decisions on a fitness landscape …

This paper deals with the mathematical modelling of population dynamics with stochastic
individual interaction. The model provides a general framework for the prediction of general …

The topic of this contribution concerns the theorizing on reciprocal learning (RL) as a social
form of interactive learning. The aim is not only to understand the reported successes of …

Abstract In most Interactive Learning Environments (ILEs), the human learner interacts with
an expert in the domain to be taught. We explored a different approach: the system does not …

The collective overall behavior of large systems of interacting individuals is determined by
the dynamics of their interactions. On the other hand, a traditional modeling of individual …

This article focuses on Herbert A. Simon's visionary theory of the Artificial World. The artificial
world evolves over time as a result of various actions, including interactions with the external …