How will superhuman artificial intelligence (AI) affect human decision making? And what will be the mechanisms behind this effect? We address these questions in a domain where AI already exceeds human performance, analyzing more than 5.8 million move decisions made by professional Go players...

This paper discusses how researchers can augment their traditional publications and share their large research datasets in a format easily analysed by other researchers, while enhancing their own analytic capabilities. The case study is the Queensland Energy and Jobs Plan, and the data portal...

DSGE models are the main tool for analysing various questions in problems of monetary, business cycle theory and fiscal policy problems, growth and other fields in international macroeconomics and macroeconomics. Many macroeconomic publications use the DSGE framework. A consensus has been...

This work serves as a formal supplement to ‘Package AdvEMDpy: Algorithmic Variations of Empirical Mode Decomposition in Python’ with additional synthetic and real-world examples. AdvEMDpy will be shown to be more accurate than its Python competitors in resolving the underlying driving...

We present an application of relation algebra to measure players' 'strength' in a social network with influence between players. In particular, we deal with power, success, and influence of a player as measured by the Hoede-Bakker index, its generalization and modifications, and by the influence...

In simulation we often have to generate correlated random variables by giving a reference intercorrelation matrix, R or Q. The matrix R is positive definite and a valid correlation matrix. The matrix Q may appear to be a correlation matrix but it may be invalid (negative definite). With R(m,m)...

In this paper we introduce some new test functions to assess the performance of global optimization methods. These functions have been selected partly because several of them are aesthetically appealing and partly because a few of them are really difficult to optimize, while all the functions...

SINGUL is a imperfect competition market (without any auctioneer process) price and quantity calculation model. Its algorithm is analogical because it is built from the most realistic (as possible) behavior of the agents of a market. Our model simulates the meeting between the agents. Each agent...

Correlation matrices have many applications, particularly in marketing and financial economics - such as in risk management, option pricing and to forecast demand for a group of products in order to realize savings by properly managing inventories, etc. Various methods have been proposed by...

Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal.