Rule Based Evolutionary Online Learning Systems PDF Download
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Author | : Martin V. Butz |
Publisher | : Springer |
Total Pages | : 279 |
Release | : 2006-01-04 |
Genre | : Computers |
ISBN | : 3540312315 |
Download Rule-Based Evolutionary Online Learning Systems Book in PDF, ePub and Kindle
Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces,andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis,understanding,anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland’s originally envisioned cognitive systems. Martin V.
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Release | : 2004 |
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Download Rule -Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction Book in PDF, ePub and Kindle
Author | : Hussein A. Abbass |
Publisher | : Springer Nature |
Total Pages | : 339 |
Release | : 2021-03-19 |
Genre | : Technology & Engineering |
ISBN | : 3030608980 |
Download Shepherding UxVs for Human-Swarm Teaming Book in PDF, ePub and Kindle
This book draws inspiration from natural shepherding, whereby a farmer utilizes sheepdogs to herd sheep, to inspire a scalable and inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart robotic shepherding agents capable of controlling biological swarms or robotic swarms of unmanned vehicles. These smart shepherding agents are described with the techniques applicable to the control of Unmanned X Vehicles (UxVs) including air (unmanned aerial vehicles or UAVs), ground (unmanned ground vehicles or UGVs), underwater (unmanned underwater vehicles or UUVs), and on the surface of water (unmanned surface vehicles or USVs). This book proposes how smart ‘shepherds’ could be designed and used to guide a swarm of UxVs to achieve a goal while ameliorating typical communication bandwidth issues that arise in the control of multi agent systems. The book covers a wide range of topics ranging from the design of deep reinforcement learning models for shepherding a swarm, transparency in swarm guidance, and ontology-guided learning, to the design of smart swarm guidance methods for shepherding with UGVs and UAVs. The book extends the discussion to human-swarm teaming by looking into the real-time analysis of human data during human-swarm interaction, the concept of trust for human-swarm teaming, and the design of activity recognition systems for shepherding. Presents a comprehensive look at human-swarm teaming; Tackles artificial intelligence techniques for swarm guidance; Provides artificial intelligence techniques for real-time human performance analysis.
Author | : Kalyanmoy Deb |
Publisher | : Springer |
Total Pages | : 734 |
Release | : 2010-11-22 |
Genre | : Computers |
ISBN | : 3642172989 |
Download Simulated Evolution and Learning Book in PDF, ePub and Kindle
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Author | : Jaume Bacardit |
Publisher | : Springer |
Total Pages | : 316 |
Release | : 2008-10-17 |
Genre | : Computers |
ISBN | : 3540881387 |
Download Learning Classifier Systems Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
Author | : Shengxiang Yang |
Publisher | : Springer |
Total Pages | : 614 |
Release | : 2007-04-03 |
Genre | : Technology & Engineering |
ISBN | : 3540497749 |
Download Evolutionary Computation in Dynamic and Uncertain Environments Book in PDF, ePub and Kindle
This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.
Author | : Cecilia Di Chio |
Publisher | : Springer |
Total Pages | : 395 |
Release | : 2011-04-27 |
Genre | : Computers |
ISBN | : 3642205259 |
Download Applications of Evolutionary Computation Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.
Author | : Grant Dick |
Publisher | : Springer |
Total Pages | : 877 |
Release | : 2014-11-11 |
Genre | : Computers |
ISBN | : 3319135635 |
Download Simulated Evolution and Learning Book in PDF, ePub and Kindle
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.
Author | : Larry Bull |
Publisher | : Springer |
Total Pages | : 234 |
Release | : 2008-07-01 |
Genre | : Technology & Engineering |
ISBN | : 3540789790 |
Download Learning Classifier Systems in Data Mining Book in PDF, ePub and Kindle
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.
Author | : Tim Kovacs |
Publisher | : Springer |
Total Pages | : 356 |
Release | : 2007-06-11 |
Genre | : Computers |
ISBN | : 3540712313 |
Download Learning Classifier Systems Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. Topics in the 22 revised full papers range from theoretical analysis of mechanisms to practical consideration for successful application of such techniques to everyday datamining tasks.