Algorithmic Intelligence: Towards an Algorithmic Foundation for Artificial Intelligence

The author argues that the basis of computer intelligence has algorithmic roots and presents a holistic view, covering theoretical computer science and machine learning via engineered algorithmic solutions. It introduces the basics of programming, graph problems, machine learning, problem solving, action planning, and application areas. It is supported with an index and references and will be of value to researchers, practitioners, and students.

Format: Hardback
Length: 467 pages
Publication date: 31 May 2023
Publisher: Springer International Publishing AG

The author delves into the intricate realm of computer intelligence, asserting that its foundation lies in algorithmic principles. Through a comprehensive and holistic approach, he presents a rich tapestry of examples and explanations, spanning theoretical computer science and machine learning, all facilitated by engineered algorithmic solutions. Part I of the book sets the stage, offering a foundational programming primer focused on solving combinatorial problems, with a strong emphasis on recursive techniques. Subsequent chapters delve into shortest paths, sorting, deep learning, and Monte Carlo search, providing a comprehensive exploration of computational tools.

Part II delves into the realm of processing Big Data efficiently, examining traditional graph problems such as cliques, colorings, independent sets, vertex covers, and hitting sets. The subsequent chapters extend to multimedia, network, image, and navigation data, highlighting the versatility of computational techniques.

Part III delves into cutting-edge research areas, encompassing machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. These topical areas reflect the forefront of artificial intelligence and computational intelligence research.

Finally, Part IV showcases real-world applications of the techniques described, encompassing model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production. These application areas provide practical insights into how the described techniques can be leveraged in modern settings.

The book is meticulously supported by a comprehensive index and extensive references, making it an invaluable resource for researchers, practitioners, and students alike in the fields of artificial intelligence and computational intelligence.

Weight: 1416g
Dimension: 215 x 287 x 35 (mm)
ISBN-13: 9783319655956
Edition number: 1st ed. 2023