Macroeconomics must take radical uncertainty into account, if it aims at contributing to the solution of serious real-world problems such as climate change. Allowing for radical uncertainty must happen at two levels: the level of modeling and the level of the scientific discipline. I argue that...

After land prices in Germany increased continuously since 2006, policy makers, representatives of farmers' unions, NGOs, and farmers started and continued to discuss or propose new land market regulations to stop price increases and to protect particularly smaller farmers. In this paper we...

In this article, cross-border effects of different market design options are analyzed using Switzerland as a case study, which is strongly interconnected to larger neighboring markets. An investigation is conducted with an agentbased model where in one scenario all market designs are represented...

Theories of path dependence and incumbent inertia assume that self-reinforcing mechanisms lead to highly persistent and eventually inefficient institutional solutions. The resulting lock-in is likely to threaten the viability of an organization. While path dependence theory was initially...

That a court possesses the formal power of judicial review is no guarantee that its decisions will be obeyed. Courts are occasionally defied, and they can also be attacked in retaliation for decisions that frustrate the goals of political elites. Using a method of computer simulation called...

Agents are farsighted when they consider the ultimate results to which their own actions may lead to. We re-examine the classical questions of implementation theory under complete information in a setting with transfers where farsighted coalitions are regarded as fundamental behavioral units and...

Thought experiments have long been employed as a technique of analytical thinking where the theorist poses “what if” questions to some articulated model. The entities in those models are typically aggregate variables, though sometimes those variables masquerade as individuals by adopting...

This study is an attempt to present a brief survey of several excellent works done by various authors in the field of multi-agent learning as well as multi-agent deep learning towards improving coordination and learning efficiency in the same. Based on the review of the existing work and...

The concept of software agent and big data plays a crucial responsibility in several fields. With new multiple dynamic parameters of software agent with the concept of big data analytic is growing rapidly in few years. The emergent figure of applications helping millions of users and dealing...