§16§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 CLA's parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. §04§Varieties of Cellular Learning Automata: An overview.- Cellular learning automata: A bibliometric analysis.- Learning from multiple reinforcements in cellular learning automata.- Applications of cellular learning automata and reinforcement learning in global optimization.- Applications of multi-reinforcement cellular learning automata in channel assignment.- Cellular Learning Automata for Collaborative Loss Sharing.- Cellular Learning Automata for Competitive Loss Sharing.- Cellular Learning Automata versus Multi-Agent Reinforcement Learning.
