Survey: Artificial Intelligence, Computational Thinking and Learning

Artificial Intelligence and Human Thinking

Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, management science, linguistics and philosophy. However, the application of these disciplines in AI has necessitated the development of many enhancements and extensions. Among the most powerful of these are the methods of computational logic. I will ...

Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

Transfer learning using computational intelligence: A survey

Transfer learning aims to provide a framework to utilize previously-acquired knowledge to solve new but similar problems much more quickly and effectively. In contrast to classical machine learning methods, transfer learning methods exploit the knowledge accumulated from data in auxiliary domains to facilitate predictive modeling consisting of different data patterns in the current domain. To i...

Advances in artificial neural networks, machine learning and computational intelligence

This special issue of Neurocomputing presents N original articles, which are extended versions of selected papers from the 21 European Symposium on Artificial Neural Networks (ESANN). ESANN is a single-track conference held annually in Bruges, Belgium, one of the most beautiful medieval towns in Europe, whose atmosphere favours efficient work as well as enjoyable cultural activities (Bruges is ...

Computational Aerodynamics and Artificial Intelligence