This book is written for computer engineers, scientists, and students studying/working in
reinforcement learning and artificial intelligence domains. The book collects recent …

Clustering of data points has been a profound research avenue in the history of machine
learning algorithms. Using learning automata which are autonomous decision making …

Recently, blockchain technology has received much attention. This is because of the rise of
cryptocurrencies such as Bitcoin and Eternium. The cryptocurrencies manage the …

Recently, studying social networks plays a significant role in many applications of social
network analysis, from the studying the characterization of network to that of financial …

Learning automaton (LA) as one of artificial intelligence techniques is a stochastic model
operating in the framework of the reinforcement learning. LA has been found to be a useful …

This article aims to study e-commerce precision models and consumer behavior models
based on clustering algorithms, and at the same time conduct detailed research on the …

Abstract Cellular Learning Automata (CLAs) are hybrid models obtained from combination of
Cellular Automata (CAs) and Learning Automata (LAs). These models can be either open or …

Super-peer networks refer to a class of peer-to-peer networks in which some peers called
super-peers are in charge of managing the network. A group of super-peer selection …

A mobile peer-to-peer (MP2P) system results from overlaying a peer-to-peer (P2P) system
over a mobile ad hoc network (MANET). A cluster/superpeer based architecture can be used …

Cellular learning automata (CLAs) are learning models that bring together the computational
power of cellular automata and also the learning capability of learning automata in unknown …