Starting in the late 80s Bayesian methods have gained increasing attention in the reliability
literature. The focus of most of the earlier Bayesian work in reliability involved statistical …

Endgame studies have long served as a tool for testing human creativity and intelligence.
We find that they can serve as a tool for testing machine ability as well. Two of the leading …

In this paper, we develop a simulation-based approach for two-stage stochastic programs
with recourse. We construct an augmented probability model with stochastic shocks and …

Anatoly Karpov's Queen sacrifices are analyzed. Stockfish 14 NNUE--an AI chess engine--
evaluates how efficient Karpov's sacrifices are. For comparative purposes, we provide a …

The rampant adoption of ML methodologies has revealed that models are usually adopted
to make decisions without taking into account the uncertainties in their predictions. More …

Gambits are central to human decision‐making. Our goal is to provide a theory of Gambits. A
Gambit is a combination of psychological and technical factors designed to disrupt …

The field of machine learning (ML) has experienced a major boom in the past years, both in
theoretical developments and application areas. However, the rampant adoption of ML …

This study centers on effective financial management via suitable decision planning to invest
in a competing stock portfolio and sets to clearly describe the procedure of Markowitz's …

In this paper, we derive an optimal strategy for the popular Deal or No Deal game show. To
do this, we use Q‐learning methods, which quantify the continuation value inherent in …

A suitable decision plan is followed by an effective financial management to achieve
optimality while investing in a competing stock portfolio. This study altered a Dynamic …