Agent based modeling (ABM) is a method of modeling complex systems that allows for detailed, endogenous actors interacting with one another and with their environment based on predefined agent rules and goals. ABMs allow modeling at a desired aggregation level that is most conducive to producing realistic market trends at the aggregation level desired. As ABMs obtain market trends based on indi...

Section A: ABM as an integrative framework for assessing the micro-macro link and the evolution of complex socio-ecological interactions

So far, research on school choice mechanisms has focused primarily on two procedures: the Deferred Acceptance (DA) mechanism and the (näıve) Boston mechanism (NBM). A variant of the Boston mechanism, where students automatically skip exhausted schools in the application process, has been largely overlooked by researchers, but is nonetheless frequently used in practice. We formalize this adaptiv...

Multi-criteria decision making problems exist everywhere. In a complex system, for all involved players, it is inevitable to face task/service selection situations where multiple qualities of tasks/services criteria need to be taken into account. In addition, complex interrelationships between different impact factors and actors need to be understood and traded off. In this paper, we present a ...

The Minority Game is a simple yet highly non-trivial agent-based model for a complex adaptive system. Despite its importance, a quantitative explanation of the game's fluctuations which applies over the entire parameter range of interest has so far been lacking. We provide such a quantitative description based on the interplay between crowds of like-minded agents and their anti-correlated partn...

Agent based simulation is a powerful tool for the research of complex systems such as human society. The important key word of this kind of research is “bounded rationality” of the agents. From the standpoint, we adopt following two hypotheses as the basis of our analysis: (1) each agent interacts only with his neighbors, and (2) each agent behaves by mimicking its neighbors. How the society gr...

In this paper, we present a state-of-the-art review of Agent-based models (ABM) for simulation of social conflict phenomena, such as peaceful or violent street protests, civil violence and revolution. First, a simplified characterization of social conflict phenomena as emergent properties of a complex system is presented, together with a description of their macro and micro levels and the scale...

Despite the wideness of the literature on industrial districts (IDs), the driving processes of ID innovation have not still received much attention: Questions about how new innovation processes emerge, how, when and where they evolve are minimally addressed in the literature. To address these questions new theoretical approaches and methodologies are needed. In the paper we approach this topic ...

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and h...

Land use change is driven by multiple autonomous actors. They act and react according to their strategies and respond to the opportunities offered by their environment. How the locations will be transformed depends, therefore, not only on demand but also on the developers providing the building supply. To identify the developers and explore the interplay between different actors and its effects...