Advances in the Simulation-Based Analysis of Attitude Change

Abstract

In this paper we provide an overview of the most relevant research work on the simulation of attitudes which evolved in the late 90’s and mainly after the year 2000. The general framework for the modeling, simulation and computational research on attitudes integrates research approaches (both fundamental and applicative) which combine theories from sociology, social psychology, social economics, political science, conflict theories, human-computer interaction areas with complexity theory, computer science, autonomous agents, artificial life, artificial intelligence, machine learning and decision making. One of the main dimensions is that of elaborating agent-based studies and simulations of the attitude dynamics.