Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …

To address increasingly urgent global environmental challenges, there is a need for rapid
and widespread adoption of eco-innovations. Previous research has shown that targeting …

This paper contributes to the (re-) conceptualisation of responsible innovation by proposing
an evolutionary economic approach that focuses on the role of consumers in the innovation …

Abstract Air Traffic Flow Management (ATFM) measures are often used to alleviate capacity
demand imbalances. Usually, these measures impose a departure delay on flights crossing …

This paper presents an exploratory memetic perspective on the diffusion pattern of the ALS
Ice Bucket Challenge. More precisely, the paper contributes to research on social learning …

The notion of endogenous innovation as the outcome of the creative response of firms to out-
of-equilibrium conditions is the cornerstone of the new evolutionary complexity. This book …

This paper introduces an LLM-Enhanced Agent-Based Influence Diffusion Simulation (LLM-
AIDSim) framework that integrates large language models (LLMs) into agent-based …

The economy-wide dynamic cost-benefit study of the Swedish industrial subsidy program
1976 through 1984 (Carlsson et al. Res Policy 10 (43): 336–354 1981; Carlsson J Ind Econ …

We develop a location analysis spatial model of firms' competition in multi-characteristics
space, where consumers' opinions about the firms' products are distributed on multilayered …

The analysis of the Marshallian and Schumpeterian microfoundations of endogenous
innovation enables to draw a line between the new emerging evolutionary complexity from …