Uncertain knowledge allows us to learn new knowledge and leads us to develop a new domain model. The medical domain is a very crucial area of research where a wrong decision taken by a physician can create a significant health issue. Based on patient sensations and certain conventional...

In-line defect inspection is employed to monitor tool health via sampling an in-line processing lot every fixed period, and avoid suffering large quality loss when the production tools are abnormal. However, defect inspection is a time-consuming process including lot movement, defect scan, and...

How people attribute the others’ previous actions often influences their feeling of inequality and then their subsequent responses. In a bilateral ultimatum bargaining game with both inequality aversion and incomplete information, a greedy offer can be attributed to either the proposer’s...

We consider collective decisions under uncertainty, when agents have "generalized Hurwicz" preferences, a broad class allowing many different ambiguity attitudes, including subjective expected utility preferences. We consider sequences of acts that are “almost-objectively uncertain” in the...

This article is the second of a series discussing the Bayesian Network representation of multivariate normal distributions. In the first article we introduced a cascading regressions model leading to a Bayesian network representation of any joint normal distribution [Pap22]. A joint normal...

This article is the first of a series discussing the Bayesian Network representation of multivariate normal distributions. A joint normal distribution being fully specified by its mean vector and its covariance matrix is not simple to interact with as its Bayesian network equivalent....

We define a new solution concept named ``Bayesian Nash equilibrium with schedules" as one in which each player, conditional on her own type, chooses a strategy over an expanded action space of contingent schedules on other players' realized actions. This solution concept is a natural extension...

Conceptual and applied studies assessing the linkage between economic freedom and corruption expect that economic freedom boosts economic growth, improves income, and reduces levels of corruption. However, most of them have concentrated on developed and developing groups, while Association of...

In recent years, Bayesian Optimization (BO) has received increasing attention due to its high sample efficiency in the global optimization of expensive-to-evaluate functions. As a principled approach to sequential decision-making under uncertainty, BO has been widely used in domain-specific...