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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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Algorithmic Intelligence - Towards an Algorithmic Foundation for Artificial Intelligence (Hardcover, 1st ed. 2023)
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Algorithmic Intelligence - Towards an Algorithmic Foundation for Artificial Intelligence (Hardcover, 1st ed. 2023)
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In this book the author argues that the basis of what we consider
computer intelligence has algorithmic roots, and he presents this
with a holistic view, showing examples and explaining approaches
that encompass theoretical computer science and machine learning
via engineered algorithmic solutions. Part I of the book introduces
the basics. The author starts with a hands-on programming primer
for solving combinatorial problems, with an emphasis on recursive
solutions. The other chapters in the first part of the book explain
shortest paths, sorting, deep learning, and Monte Carlo
search. A key function of computational tools is processing
Big Data efficiently, and the chapters in Part II of the book
examine traditional graph problems such as finding cliques,
colorings, independent sets, vertex covers, and hitting sets, and
the subsequent chapters cover multimedia, network, image, and
navigation data. The highly topical research areas detailed
in Part III are machine learning, problem solving, action planning,
general game playing, multiagent systems, and recommendation and
configuration. Finally, in Part IV the author uses
application areas such as model checking, computational biology,
logistics, additive manufacturing, robot motion planning, and
industrial production to explain how the techniques described may
be exploited in modern settings. The book is supported with a
comprehensive index and references, and it will be of value to
researchers, practitioners, and students in the areas of artificial
intelligence and computational intelligence.
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