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Advances in Learning Automata and Intelligent Optimization
This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automa...
Recent Advances in Learning Automata
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...
Cellular Learning Automata: Theory and Applications
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. 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.
Intelligent Random Walk: An Approach Based on Learning Automata
This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
Iran's Troubled Modernity
Mirsepassi uses interviews with thirteen individuals to relate the colourful life and times of Ahmad Fardid and his intellectual legacy.
Artificial Intelligence and Signal Processing
This book constitutes the refereed proceedings of the International Symposium, on Artificial Intelligence and Signal Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 full papers presented were carefully reviewed and selected from 106 submissions. They are organized in topical sections such as image processing, machine vision, medical image processing, signal processing, speech processing, natural language processing, systems and AI applications, robotics.
Grid and Distributed Computing, Control and Automation
Welcome to the proceedings of the 2010 International Conferences on Grid and D- tributed Computing (GDC 2010), and Control and Automation (CA 2010) – two of the partnering events of the Second International Mega-Conference on Future Gene- tion Information Technology (FGIT 2010). GDC and CA bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted - pects of high-performance and compound control systems, including their links to computational sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 198 papers submitted to GDC/...
RoboCup 2006: Robot Soccer World Cup X
This book constitutes the 10th official archival publication devoted to RoboCup. It documents the achievements presented at the RoboCup 2006 International Symposium, held in Bremen, Germany, in June 2006, in conjunction with the RoboCup Competition. It serves as a valuable source of reference and inspiration for those interested in robotics or distributed intelligence.
Towards Neuromorphic Machine Intelligence
Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networks (ANNs), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering.This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the...
International Symposium on Fundamentals of Software Engineering
This book constitutes the refereed proceedings of the International Symposium on Fundamentals of Software Engineering, FSEN 2007. The topics include models of programs and systems, software architectures and their description languages, object and multi-agent systems, coordination and feature interaction, component-based development, service-oriented development, model checking and theorem proving, software and hardware verification and CASE tools and tool integration.
