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 present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encoun ters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in...

This paper investigates micro-macro links in stock markets. Empirical investigations on individual investors' decision-making and interactions are used to formalize agent rules for an artificial stock market. Simulation of the social interactions of multiple agents in this market generates macro...

Since 2015 Europe is facing a serious refugee crisis, with more than 1,000,000 migrants who have already crossed its borders. Most of them are expected to settle in Europe, which will undoubtedly affect its social fabric, with the risk of emerging conflicts between host and migrants and...