We analyze the dynamics of agent-based models (ABMs) from a Markovian perspective and derive explicit statements about the possibility of linking a microscopic agent model to the dynamical processes of macroscopic

This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k-dimensional bitstrings. Individuals interact if the difference in the opinion strings is...

In this paper, we inspect well-known population genetics and social dynamics models, interacting individuals, while participating in self-organizing process, give rise to the emergence of complexe behaviors and patterns. While one main focus in population genetics is on the adaptive behavior of...

The main problem we address in this paper is whether function determines form when a society of agents organizes itself for some purpose or whether the organizing method is more important than the functionality in determining the structure of the ensemble. As an example, we use a neural network...

Positions offered on a labour market and workers preferences are here described by bit-strings representing individual traits. We study the co-evolution of workers and firm preferences modeled by such traits. Individual ”size-like” properties are controlled by binary encounters which outcome...

Endogenous, ideas-led, growth theory and agent based modelling with neighbourhood effects literature are crossed. In an economic overlapping generations framework, it is shown how social interactions and neighbourhood effects are of vital importance in the endogenous determination of the long...