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Challenges for Computational Intelligence

Challenges for Computational Intelligence
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 266677339 Buchausg. u.d.T.: ‡Challenges for computational intelligence ; with 6 tables
ISBN 978-3-540-71983-0
Name Duch, Włodzisław
Mańdziuk, Jacek
Name ANZEIGE DER KETTE Mańdziuk, Jacek
T I T E L Challenges for Computational Intelligence
Verlagsort Berlin, Heidelberg
Verlag Springer-Verlag Berlin Heidelberg
Erscheinungsjahr 2007
2007
Umfang Online-Ressource (XII, 487 p. 119 illus., 19 in color. Also available online, digital)
Reihe Studies in Computational Intelligence ; 63
Notiz / Fußnoten Includes bibliographical references
Weiterer Inhalt ""Preface""; ""Contents""; ""What Is Computational Intelligence and Where Is It Going?""; ""New Millennium AI and the Convergence of History""; ""The Challenges of Building Computational Cognitive Architectures""; ""Programming a Parallel Computer: The Ersatz Brain Project""; ""The Human Brain as a Hierarchical Intelligent Control System""; ""Artificial Brain and OfficeMateTR Based on Brain Information Processing Mechanism""; ""Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour"". ""Computational Scene Analysis""""Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities""; ""The Science of Pattern Recognition. Achievements and Perspectives""; ""Towards Comprehensive Foundations of Computational Intelligence""; ""Knowledge-Based Clustering in Computational Intelligence""; ""Generalization in Learning from Examples""; ""A Trend on Regularization and Model Selection in Statistical Learning:""; ""Computational Intelligence in Mind Games""; ""Computer Go: A Grand Challenge to AI"". ""Noisy Chaotic Neural Networks for Combinatorial Optimization""
Titelhinweis Buchausg. u.d.T.: ‡Challenges for computational intelligence ; with 6 tables
ISBN ISBN 978-3-540-71984-7
Klassifikation MAT003000
TBJ
TEC009000
006.3
519
600
TA329-348
TA640-643
ST 300
Kurzbeschreibung What Is Computational Intelligence and Where Is It Going? -- New Millennium AI and the Convergence of History -- The Challenges of Building Computational Cognitive Architectures -- Programming a Parallel Computer: The Ersatz Brain Project -- The Human Brain as a Hierarchical Intelligent Control System -- Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism -- Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour -- Computational Scene Analysis -- Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities -- The Science of Pattern Recognition. Achievements and Perspectives -- Towards Comprehensive Foundations of Computational Intelligence -- Knowledge-Based Clustering in Computational Intelligence -- Generalization in Learning from Examples -- A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective -- Computational Intelligence in Mind Games -- Computer Go: A Grand Challenge to AI -- Noisy Chaotic Neural Networks for Combinatorial Optimization.
2. Kurzbeschreibung In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics, proposing 23 major problems worth working at in the future. One hundred years later the impact of this talk is still strong: some problems have been solved, new problems have been added, but the direction once set -- identify the most important problems and focus on them -- is still actual. Computational Intelligence (CI) is used as a name to cover many existing branches of science, with artificial neural networks, fuzzy systems and evolutionary computation forming its core. In recent years CI has been extended by adding many other subdisciplines and it became quite obvious that this new field also requires a series of challenging problems that will give it a sense of direction. Without setting up clear goals and yardsticks to measure progress on the way many research efforts are wasted. The book written by top experts in CI provides such clear directions and the much-needed focus on the most important and challenging research issues, showing a roadmap how to achieve ambitious goals.
1. Schlagwortkette Künstliche Intelligenz
Soft Computing
Aufsatzsammlung
Online-Publikation
1. Schlagwortkette ANZEIGE DER KETTE Künstliche Intelligenz -- Soft Computing -- Aufsatzsammlung -- Online-Publikation
2. Schlagwortkette Künstliche Intelligenz
Soft Computing
ANZEIGE DER KETTE Künstliche Intelligenz -- Soft Computing
SWB-Titel-Idn 26535398X
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-3-540-71984-7
Internetseite / Link Volltext
Siehe auch Volltext
Siehe auch Cover
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