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:...

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 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,...

Abstract: We model opinion dynamics in populations of agents with continuous opinion and uncertainty. The opinions and uncertainties are modified by random pair interactions. We propose a new model of interactions, called relative agreement model, which is a variant of the previously discussed...

In this paper we compare a version of the individual-based “threshold model†of innovation diffusion (Valente 95) with an aggregate deterministic model that we constructed from it. The classical threshold model supposes that an individual adopts a behaviour according to a trade-off...

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

Meadows and Cliff (2012) failed to replicate the results of Deffuant et al. (2002) and concluded that our paper was wrong. In this note, we show that the conclusions of Meadows and Cliff are due to a wrong computation of indicator y, which was not fully specified in our 2002 paper. In...