Magic pelagic — An agent-based simulation of 20 years of emergent value accumulation in the North Atlantic herring exchange system

This paper presents an empirically-based simulation of an industrial network modeled as an exchange system. It uses a multi-agent simulation model to test for how variations in uncertainty of the input resource and how the changing demand patterns affect the accumulation and distribution of exchange values in the system as a whole. The empirical material is a case study of an industrial network connecting herring supply with demand. This particular network comprises two separate but related sub-networks, identifiable based on the origin of the herring as coming from either Norwegian or Icelandic catchers. While both target the same potential customers in terms of wholesalers and retailers and ultimately European and Asian consumers, they are distinct in their internal organizing aspects. The results indicate that certain types of internal organizing are more adaptive to changes in conditions and are better suited to absorb these changes. The paper contributes to both a theory and method emphasizing the modeling of emergent nonlinear patterns of networks.