This Discussion Paper explores interactions between structural impediments to labour adjustment, specific labour adjustment patterns and the impacts of differing economical and political frames. Based on the agent-based simulation framework AgriPoliS adjusted to the agricultural structure of the...

Agent-based models have recently become very popular. However, it is often difficult to communicate the models' complexity and assumptions. Hence, criticising them becomes a challenging task. This paper addresses this problem and discusses different ways to increase the transparency and...

It has long been recognized that Instant Runoff Voting (IRV) suffers from a defect known as nonmonotonicity, wherein increasing support for a candidate among a subset of voters may adversely affect that candidate’s election outcome. The expected frequency of this type of behavior, however,...

Over the last several years, the United States has experienced a significant recession. During this downturn, the number of real estate foreclosures has risen drastically. Recent studies have demonstrated a reduction in property values due to neighboring foreclosures—known as the foreclosure...

Many social phenomena can be viewed as processes in which individuals in social groups develop agreement (e.g., public opinion, the spreading of rumor, the formation of social and linguistic conventions). Conceptual Agreement Theory (CAT) models social agreement as a simplified communicational...

We attempt to understand, scientifically, how different members of the mining concession, impacted communities, and government authorities behave when a conflicting situation arises. The main purpose of our effort is to start developing a framework for the scientific modeling of stakeholders’...

Although many researchers have attempted to prevent or mitigate damages, estimate vulnerabilities and control natural catastrophes, an important phase of disaster management that has received less attention is the challenge of managing people and resources directly after an incident. Because...

A new agent-based, bounded-confidence model for discrete one-dimensional opinion dynamics is presented. The agents interact if their opinions do not differ by more than a tolerance parameter. In pairwise interactions, one of the pair, randomly selected, converts to the opinion of the other. The...