This paper develops an agent-based model to estimate the likelihood of the No Fault Found (NFF) phenomenon. NFF events are critical problems as the root cause of an issue cannot be diagnosed. This makes it difficult to quantify associated costs as potentially serviceable equipment is being...

The transportation sector accounts for the largest consumption of non-renewable energy globally, highlighting the need for a broader understanding of alternative paths towards mitigating this status. Technological advancement is on the rise and with increasing policy support, studies present...

This paper analyzes the implications of different designs of policies, which aim to contain the diffusion of the SARS-CoV-2 virus, with respect to induced economic loss and virus mortality. An agent-based simulation model is implemented and calibrated with German data, which combines the...

The paper introduces the problem of unawareness into Principal-Agent theory and discusses optimal incentive contracts when the agent may be unaware of her action space. Depending on the agent's default behavior, it can be optimal for the principal to propose an incomplete contract (that keeps...

In this paper, we assess the happiness cost of Brexit in the UK and the EU, using data from the Gallup World Poll. We implement a two-stage learning machine, using a naive Bayes classifier to extract happiness preferences of the population and then passing these onto an artificial neural network...

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...