Der Artikel ist weiterhin als ^^OTHERCONDITION^^ verfügbar.
Autor: Alireza Rezvanian
ISBN-13: 9783319724270
Einband: Book
Seiten: 458
Gewicht: 881 g
Format: 241x161x35 mm
Sprache: Englisch

Recent Advances in Learning Automata

754, Studies in Computational Intelligence
Geben Sie Ihre Bewertung ab!  
Wir verlosen jeden Monat unter allen freigegebenen Rezensionen
3 Gutscheine im Wert von 20 Euro. Teilnahmebedingungen
This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy. In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains.
Learning automata theory.- Cellular learning automata.- Learning automata for wireless sensor networks.- Learning automata for cognitive Peer-to-peer networks.- Learning automata for Complex Social Networks.- Adaptive petri net based on learning automata.- Summary and future directions.

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

 

Rezensionen

Autor: Alireza Rezvanian
ISBN-13 :: 9783319724270
ISBN: 3319724274
Erscheinungsjahr: 13.02.2018
Verlag: Springer-Verlag GmbH
Gewicht: 881g
Seiten: 458
Sprache: Englisch
Sonstiges: Buch, 241x161x35 mm, 50 schwarz-weiße Abbildungen, Bibliographie