Management of supply chains is a difficult task involving coordination and decision-making across organizational boundaries. Computational modeling using multi-agent simulation is a tool that can provide decision support for supply chain managers. We identify the components of a supply chain...

In the introduction a distinction is made between the macroscopic approach, which the spatially explicit method is connected with, and the microscopic approach. The spatially explicit method is considered in relation to the interactions between located variables: without and with transport of...

Swarm intelligence is widely recognized as a powerful paradigm of self-organized optimization, with numerous examples of successful applications in distributed artificial intelligence. However, the role of physical interactions in the organization of traffic flows in ants under crowded...

In many social dilemmas, individuals tend to generate a situation with low payoffs instead of a system optimum ("tragedy of the commons"). Is the routing of traffic a similar problem? In order to address this question, we present experimental results on humans playing a route choice game in a...

Institutional arrangements are key drivers of the use of common-pool resources (CPR). The analysis of existing arrangements requires a framework that allows research to describe a case study systematically and diagnose the institutional setting. Based on a sound understanding of current...

Our motivation is lying on the questions "How does a food scare and information of a food scare influence the buying decision of one single agent and the changes in the aggregate demand?" and "How can we evaluate effective risk communication strategies?". Since we investigate a society of...

This paper describes the use of an agent-based model (ABM) with the purpose of simulating interaction processes in business networks. Such an ABM must be able to capture time and process in networks while retaining a level of comprehension and overview. The ABM rests on the assumption that...