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This monograph is intended for researchers and professionals in the
fields of computer science and cybernetics. Nowadays, the areas of
computer science and cybernetics (mainly its artificial
intelligence branches) are subject to an immense degree of study
and are applied in a wide range of technical and industrial
projects. The individual chapters of this monograph were developed
from a series of invited lectures at the Brno University of
Technology in the years 2018 and 2019. The main aim of these
lectures was to create an opportunity for students, academics, and
professionals to exchange ideas, novel research methods, and new
industrial applications in the fields related to soft computing and
cybernetics. The authors of these chapters come from around the
world and their works cover both new theoretical and
application-oriented results from areas such as automation,
control, robotics, optimization, statistics, reinforcement
learning, image processing, and evolutionary algorithms.
This monograph is intended for researchers and professionals in the
fields of computer science and cybernetics. Nowadays, the areas of
computer science and cybernetics (mainly its artificial
intelligence branches) are subject to an immense degree of study
and are applied in a wide range of technical and industrial
projects. The individual chapters of this monograph were developed
from a series of invited lectures at the Brno University of
Technology in the years 2018 and 2019. The main aim of these
lectures was to create an opportunity for students, academics, and
professionals to exchange ideas, novel research methods, and new
industrial applications in the fields related to soft computing and
cybernetics. The authors of these chapters come from around the
world and their works cover both new theoretical and
application-oriented results from areas such as automation,
control, robotics, optimization, statistics, reinforcement
learning, image processing, and evolutionary algorithms.
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