Rezvanian, AlirezaSaghiri, Ali Mohammad
Springer International Publishing (Cham, Switzerland , 2018) (eng) English9783319724287Studies in computational intelligence1st ed. ENGINEERING; UnknownThis 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.
Physical dimension
1 online resource (xix, 458 p.)Unknownill. (in color.)
Summary / review / table of contents
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.