Mathematical modeling of innovation diffusion has attracted strong academic interest since
the early 1960s. Traditional diffusion models have aimed at empirical generalizations and …

Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling
human-environmental systems, but challenges and critics remain. One pressing challenge …

The agent-based modeling approach is now used in many domains such as geography,
ecology, or economy, and more generally to study (spatially explicit) socio-environmental …

Computational models are increasingly being used to assist in developing, implementing
and evaluating public policy. This paper reports on the experience of the authors in …

How one builds, checks, validates and interprets a model depends on its 'purpose'. This is
true even if the same model is used for different purposes, which means that a model built …

Agent-based models tend to be more and more complex. In order to cope with this increase
of complexity, powerful modeling and simulation tools are required. These last years have …

This paper addresses a set of methodological problems arising in the empirical validation of
agent-based (AB) economics models and discusses how these are currently being tackled …

We offer a path-centric theory of emerging technology and organizing that addresses a basic
question. When does emerging technology lead to transformative change? A path-centric …

This paper addresses the methodological problems of empirical validation in agent-based
(AB) models in economics and how these are currently being tackled. We first identify a set …

The paper deals with the use of empirical data in social science agent-based models. Agent-
based models are too often viewed just as highly abstract thought experiments conducted in …