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3407. A Computational Account of Complex Systems

Invited abstract in session MA-43: Simulation of organizations I, stream Agent-based Models in Management, Economic and Organisation Sciences.

Monday, 8:30-10:00
Room: 99 (building: 306)

Authors (first author is the speaker)

1. Davide Secchi
Dept. of Language and Culture, University of Southern Denmark
2. Martin Neumann
Language, culture and communication, University of Southern Denmark

Abstract

This study is concerned with understanding and classifying the variety and difference among complex systems. Definitional differences usually stem from the disciplines where complexity was first detected and analyzed. They are also characterized by emphasis on one specific element of the system, being its composing entities, their interrelations, entropy, or emergence, to name a few of the most popular. These classifications generate a broad definitional space for complexity, leading to large differences among types of complexity. In other words, not all complexity is made equal. The issue of concern for this paper is to formally qualify these differences by using a series of agent-based computational simulation models where complexity is manipulated by modifying one component at the time. This should be able to provide a map of complexity, from more to less intuitive, from more to increasingly less predictable, and from single- to multi-layered. The research is structured around a model grounded in the social sciences, more specifically it illustrates intra-organizational dynamics as an exemplar of complexity in social systems. This research is aimed at improving our understanding and appreciation of complex systems in a way to guide the analytical tools and strategies that should accompany researchers when confronted with difference systems. The study concludes with a proposal for terminology to use in relation to different complex systems.

Keywords

Status: accepted

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