Modern AI techniques are spectacular, but they face important challenges: (1) they rarely provide an adequate estimate of how accurate their results are, and (2) they largely lack reasoning abilities. A natural way to resolve these challenges is to combine AI techniques with more traditional Computational Intelligence (CI) techniques -- techniques that can handle both accuracy and reasoning. Such combination is the main focus of this book. It contains both theoretical state-of-the-art papers on AI, CI, and combined techniques (including possible use of quantum computing), and applications covering finance, recommender systems, traffic analysis, etc. Several papers describe medical applications: to genomics, gerontology, medical image processing (X-ray, Computer
Tomography, etc.), and psychiatry.

The book can be recommended to students, researchers, and practitioners who want to study, apply, and further develop the new techniques.