Nash equilibrium is one of the most influential solution concepts in game theory. With the
development of computer science and artificial intelligence, there is an increasing demand …

Nowadays there are numerous powerful software packages available for most areas of
machine learning (ML). These can be roughly divided into frameworks that solve detailed …

Summary Evolutionary Game Theory (EGT) provides an important framework to study
collective behavior. It combines ideas from evolutionary biology and population dynamics …

Contemporary debates about scientific institutions and practice feature many proposed
reforms. Most of these require increased efforts from scientists. But how do scientists' …

In recent years, there has been growing interest in develo** robust machine learning (ML)
models that can withstand adversarial attacks, including one of the most widely adopted …

The recently unlocked 6-GHz spectrum is accessible to cellular and WiFi networks for
unlicensed use while they conform to the constraints imposed by the incumbent nodes. We …

This paper attempts to propose a discretionary lane‐changing decision‐making model
based on signalling game in the context of mixed traffic flow of autonomous and regular …

Applied Mathematics with Open-source Software: Operational Research Problems with
Python and R is aimed at a broad segment of readers who wish to learn how to use open …

In this article, we consider the problem of finding a Nash equilibrium in bimatrix games.
Traditional solution methods, including the Lemke–Howson (LH) algorithm and enumeration …

Vehicular networks involve communications between automobiles and roadside
infrastructures, to improve safety, traffic efficiency, and comfort. They require to establish …