TY  - GEN
N2  - This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLAs parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.
DO  - 10.1007/978-3-030-53141-6
DO  - doi
AB  - This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLAs parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.
T1  - Cellular learning automata :theory and applications /
DA  - [2021]
CY  - Cham :
AU  - Vafashoar, Reza.
AU  - Morshedlou, Hossein.
AU  - Rezvanian, Alireza.
AU  - Meybodi, Mohammad Reza,
VL  - v. 307
CN  - Q325.5
PB  - Springer,
PP  - Cham :
PY  - [2021]
ID  - 1431695
KW  - Machine learning.
KW  - Cellular automata.
KW  - Artificial intelligence.
SN  - 9783030531416
SN  - 3030531414
SN  - 9783030531423
SN  - 3030531422
SN  - 9783030531430
SN  - 3030531430
TI  - Cellular learning automata :theory and applications /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53141-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53141-6
ER  -