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Swarm Intelligence Introduction and Applications by

Swarm Intelligence Introduction and Applications ebook
Page: 283
ISBN: , 9783540759720
Format: pdf
Publisher: Springer

Chapter 3 focuses on the mechanical design of self-reconfigurable robotic systems. Communication in large scale systems, swarm intelligence, fault tolerance, self-assembly, evolutionary computation, and high performance computing. Individual techniques from these CI paradigms, as well CIAB2013 welcomes paper submissions introducing and implementing Computational Intelligent techniques to address various problems in Bioinformatics and Computational Biology. The class of complex systems sometimes referred to as swarm systems is a rich source of novel computational methods that can solve difficult problems efficiently and reliably. Dec 10, 2011 - The sections on application of the swarm algorithm principles will be especially helpful to those researchers and engineers who are concerned with getting something that works. Apr 11, 2012 - Swarm Intelligence Swarm intelligence is the collective behaviour of decentralized, self-organized systems, natural or artificial. Feb 25, 2013 - Some of the most important CI representative methods are: Artificial Neural Networks, Evolutionary Algorithms, Swarm Intelligence, Artificial Immune Systems, Ant-colony Optimization, and Fuzzy Systems. Aug 16, 2012 - A software agent is a software program that acts for a user or other program in a relationship of agency, Related and derived concepts include Intelligent agents (in particular exhibiting some aspect of Artificial Intelligence, such as learning and reasoning), autonomous Cloud computing provides computation, software applications, data access, and storage resources without requiring cloud users to know the location and other details of the computing infrastructure. When swarms solve problems in nature, their abilities are usually attributed to swarm intelligence; perhaps the best-known examples are colonies of social insects such as termites, bees, and ants. Feb 23, 2012 - their domain of application. The concept is employed in work on artificial intelligence. It is helpful to understand the basic concepts of The Game of Life and cellular automata in general are computational examples of emergence, which seems to be fundamental to life and intelligence, and some artificial life paradigms are introduced. The purpose of the chapter, as stated by the authors, is to “enlighten software designers about the cost of implementing a solution at the hardware level … [and] to provide the hardware designer with a starting point for .