In this contribution we aim at anchoring ABM simulations in actual models of human psychology. More specifically, we apply unidirectional Agent Based Modeling (ABM) to social psychological models using low level agents (i.e., intra-individual) to examine whether they generate better predictions,...

Understanding the rate of adoption of a telecommunications service in a population of customers is of prime importance to ensure that appropriate network capacity is provided to maintain quality of service. This problem goes beyond assessing the demand for a product based on usage and requires...

In this paper we investigate different learning schemes in dynamic game theory and consider their relative importance when constructing strategic decision models for economic and business applications. The different models of learning dynamics we have formulated fall into three main categories:...

We propose a new approximate Bayesian computation (ABC) algorithm that aims at minimizing the number of model runs for reaching a given quality of the posterior approximation. This algorithm automatically determines its sequence of tolerance levels and makes use of an easily interpretable...

We propose an opinion dynamics model that combines processes of vanity and opinion propagation. The interactions take place between randomly chosen pairs. During an interaction, the agents propagate their opinions about themselves and about other people they know. Moreover, each individual is...

In Deffuant et al. (J. Artif. Soc. Soc. Simulation 5 (2002) 4), we proposed a simple model of opinion dynamics, which we used to simulate the influence of extremists in a population. Simulations were run without any specific interaction structure and varying the simulation parameters, we...

A contribution to the JASSS forum, in reaction to the paper in FASZ about our model of extremism