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

Agent-based models (ABMs) provide a methodology to explore systems of interacting,
adaptive, diverse, spatially situated actors. Outcomes in ABMs can be equilibrium points …

Macroeconomic modelling has been under intense scrutiny since the Great Financial Crisis,
when serious shortcomings were exposed in the methodology used to understand the …

Over the last 50 years, the community of heterodox economists has expanded, and its
publications have proliferated. But its power in departments of economics has waned …

Traditional (ie analytical) modelling practices in the social sciences rely on a very well
established, although implicit, methodological protocol, both with respect to the way models …

The objectives of this paper are to define and classify different types of errors and artefacts
that can appear in the process of developing an agent-based model, and to propose …

Two difficulties arise in the estimation of AB models:(i) the criterion function has no simple
analytical expression,(ii) the aggregate properties of the model cannot be analytically …

Este trabajo compara dos técnicas de modelado de sistemas complejos: la simulación
basada en agentes y la dinámica de sistemas. Esta comparación se lleva a cabo dentro del …

Drawing upon the science of complexity we propose a network-centric, complex-systems
internationalization (NCCSI) perspective of firm internationalization that can help us …

Agent-based computational economics (ACE)—while adopted comparably widely in other
domains of managerial science—is a rather novel paradigm for management accounting …