Algorithmic Intelligence (Record no. 15287)

MARC details
000 -LEADER
fixed length control field 02818nam a2200373Ia 4500
000 - LEADER
fixed length control field 03862nam a22003975i 4500
001 - CONTROL NUMBER
control field 978-3-319-65596-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120916.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230530s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319655963
-- 978-3-319-65596-3
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 6.3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Edelkamp, Stefan.
9 (RLIN) 32268
245 ## - TITLE STATEMENT
Title Algorithmic Intelligence
Statement of responsibility, etc. by Stefan Edelkamp.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham
Name of publisher, distributor, etc. Springer International Publishing
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XXV, 467 p. 173 illus., 90 illus. in color.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 32269
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 32270
Topical term or geographic name entry element Automation.
9 (RLIN) 32271
Topical term or geographic name entry element Business information services.
9 (RLIN) 32272
Topical term or geographic name entry element Business logistics.
9 (RLIN) 32273
Topical term or geographic name entry element Control engineering.
9 (RLIN) 32274
Topical term or geographic name entry element Control, Robotics, Automation.
9 (RLIN) 32275
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
9 (RLIN) 32276
Topical term or geographic name entry element Data mining.
9 (RLIN) 32277
Topical term or geographic name entry element IT in Business.
9 (RLIN) 32278
Topical term or geographic name entry element Logistics.
9 (RLIN) 32279
Topical term or geographic name entry element Robotics.
9 (RLIN) 32280
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-319-65596-3">https://doi.org/10.1007/978-3-319-65596-3</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2273 2024-03-19 2024-03-19 e-Book Platform:Springer