Cargando…

Complex behavior in evolutionary robotics /

<!Doctype html public ""-//w3c//dtd html 4.0 transitional//en""> <html><head> <meta content=""text/html; charset=iso-8859-1"" http-equiv=content-type> <meta name=generator content=""mshtml 8.00.6001.23627""><...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: König, Lukas (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : De Gruyter, [2015]
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 KNOVEL_ocn909907883
003 OCoLC
005 20231027140348.0
006 m o d
007 cr cn|||||||||
008 141210t20152015maua ob 001 0 eng d
040 |a E7B  |b eng  |e rda  |e pn  |c E7B  |d EBLCP  |d IDEBK  |d DEBBG  |d N$T  |d OCLCF  |d YDXCP  |d KNOVL  |d DEBSZ  |d FEM  |d K6U  |d IDB  |d AGLDB  |d STF  |d OCLCQ  |d ICA  |d COO  |d CCO  |d MERUC  |d PIFFA  |d FVL  |d ZCU  |d VT2  |d OCLCQ  |d U3W  |d D6H  |d VTS  |d RRP  |d ICG  |d INT  |d DEGRU  |d AU@  |d OCLCQ  |d TKN  |d OCLCQ  |d LEAUB  |d DKC  |d OCLCQ  |d UKAHL  |d OCLCQ  |d HS0  |d OCLCQ  |d UK7LJ  |d WYU  |d UAB  |d UWK  |d SXB  |d OCLCO  |d OCLCQ 
019 |a 908080093  |a 948890293  |a 961602279  |a 962703476  |a 966105010  |a 967768197  |a 968001988  |a 969082837  |a 979626854  |a 988658546  |a 992854803  |a 994496371  |a 999581336  |a 1055350066  |a 1066461533  |a 1081229796  |a 1156222162  |a 1162531500  |a 1164914927  |a 1166174162  |a 1167183889  |a 1171995812  |a 1228590524  |a 1241948577  |a 1259260885 
020 |a 9783110408553  |q (electronic bk.) 
020 |a 3110408554  |q (electronic bk.) 
020 |a 9783110409185  |q (electronic bk.) 
020 |a 3110409186  |q (electronic bk.) 
020 |a 9781523104536  |q (electronic bk.) 
020 |a 1523104538  |q (electronic bk.) 
020 |a 3110408546 
020 |a 9783110408546 
020 |z 9783110408546  |q (alk. paper) 
024 7 |a 10.1515/9783110408553  |2 doi 
029 1 |a AU@  |b 000054975642 
029 1 |a CHBIS  |b 011058093 
029 1 |a CHVBK  |b 498859231 
029 1 |a DEBBG  |b BV042694206 
029 1 |a DEBBG  |b BV042992034 
029 1 |a DEBBG  |b BV044070433 
029 1 |a DEBSZ  |b 477603114 
029 1 |a DEBSZ  |b 48474481X 
035 |a (OCoLC)909907883  |z (OCoLC)908080093  |z (OCoLC)948890293  |z (OCoLC)961602279  |z (OCoLC)962703476  |z (OCoLC)966105010  |z (OCoLC)967768197  |z (OCoLC)968001988  |z (OCoLC)969082837  |z (OCoLC)979626854  |z (OCoLC)988658546  |z (OCoLC)992854803  |z (OCoLC)994496371  |z (OCoLC)999581336  |z (OCoLC)1055350066  |z (OCoLC)1066461533  |z (OCoLC)1081229796  |z (OCoLC)1156222162  |z (OCoLC)1162531500  |z (OCoLC)1164914927  |z (OCoLC)1166174162  |z (OCoLC)1167183889  |z (OCoLC)1171995812  |z (OCoLC)1228590524  |z (OCoLC)1241948577  |z (OCoLC)1259260885 
050 4 |a TJ211.37  |b .K66 2015eb 
072 7 |a TEC  |x 009000  |2 bisacsh 
082 0 4 |a 629.8/92  |2 23 
049 |a UAMI 
100 1 |a König, Lukas,  |e author. 
245 1 0 |a Complex behavior in evolutionary robotics /  |c Lukas König. 
264 1 |a Boston :  |b De Gruyter,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (262 pages) :  |b illlustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Acknowledgements; Contents; List of Figures; List of Tables; List of Notations; 1 Introduction; 1.1 Evolutionary Robotics and Evolutionary Swarm Robotics; 1.2 Further Classifications; 1.3 Challenges of ER; 1.4 Structure and Major Contributions of the Thesis; 2 Robotics, Evolution and Simulation; 2.1 Evolutionary Training of Robot Controllers; 2.1.1 Two Views on Selection in ER and ESR; 2.1.2 Classification of Fitness Functions in ER; 2.1.3 The Bootstrap Problem; 2.1.4 The Reality Gap; 2.1.5 Decentralized Online Evolution in ESR. 
505 8 |a 2.1.6 Evolvability, Controller Representation and the Genotype-Phenotype Mapping2.1.7 Controller Representation; 2.1.8 Recombination Operators; 2.1.9 Success Prediction in ESR; 2.2 Agent-based Simulation; 3 The Easy Agent Simulation; 3.1 History of the Easy Agent Simulation Framework; 3.2 Basic Idea and Architectural Concept; 3.2.1 Overview; 3.2.2 Preliminaries; 3.2.3 Classification of the Architecture; 3.2.4 The SPI Architecture from an MVC Perspective; 3.2.5 Comparison of the SPI Architecture with State-of-the-Art ABS Frameworks; 3.3 Implementation of the SPI within the EAS Framework. 
505 8 |a 3.3.1 Overview3.3.2 Plugins; 3.3.3 Master Schedulers; 3.3.4 The classes SimulationTime and Wink; 3.3.5 The Interface EASRunnable; 3.3.6 "Everything is an Agent": a Philosophical Decision; 3.3.7 Running a Simulation; 3.3.8 Getting Started; 3.4 A Comparative Study and Evaluation of the EAS Framework; 3.4.1 Method of Experimentation; 3.4.2 Results and Discussion; 3.5 Chapter Résumé; 4 Evolution Using Finite State Machines; 4.1 Theoretical Foundations; 4.1.1 Preliminaries; 4.1.2 Definition of the MARB Controller Model; 4.1.3 Encoding MARBs; 4.1.4 Mutation and Hardening. 
505 8 |a 4.1.5 Selection and Recombination4.1.6 Fitness calculation; 4.1.7 The Memory Genome: a Decentralized Elitist Strategy; 4.1.8 Fitness Adjustment after Mutation, Recombination and Reactivation of the Memory Genome; 4.1.9 The Robot Platforms; 4.2 Preliminary Parameter Adjustment using the Example of Collision Avoidance; 4.2.1 Specification of Evolutionary Parameters; 4.2.2 Method of Experimentation; 4.2.3 Evaluation and Discussion; 4.2.4 Concluding Remarks; 4.3 A Comprehensive Study Using the Examples of Collision Avoidance and Gate Passing; 4.3.1 Method of Experimentation. 
505 8 |a 4.3.2 Experimental results4.3.3 Concluding remarks; 4.4 Experiments With Real Robots; 4.4.1 Evolutionary Model; 4.4.2 Method of Experimentation; 4.4.3 Results and Discussion; 4.4.4 Concluding Remarks; 4.5 Chapter Résumé; 5 Evolution and the Genotype-Phenotype Mapping; 5.1 Overview of the Presented Approach; 5.2 A Completely Evolvable Genotype-Phenotype Mapping; 5.2.1 Definition of (complete) evolvability; 5.2.2 Properties of ceGPM-based genotypic encodings; 5.2.3 The Translator Model MAPT and the Course of Evolution; 5.2.4 Genotypic and Phenotypic Spaces; 5.2.5 Evolutionary Operators. 
520 |a <!Doctype html public ""-//w3c//dtd html 4.0 transitional//en""> <html><head> <meta content=""text/html; charset=iso-8859-1"" http-equiv=content-type> <meta name=generator content=""mshtml 8.00.6001.23627""></head> <body> This book examines four new approaches for problem solving in evolutionary robotics and agent simulation. Of particular interest is a new method that imitates natural evolution, allowing mutation and recombination operations to be adapted during the robotic evolution process. </body></html> 
546 |a In English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a Knovel  |b ACADEMIC - Mechanics & Mechanical Engineering 
650 0 |a Evolutionary robotics. 
650 6 |a Robotique évolutive. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Engineering (General)  |2 bisacsh 
650 7 |a Evolutionary robotics.  |2 fast  |0 (OCoLC)fst00917349 
776 0 8 |i Print version:  |a König, Lukas.  |t Complex behavior in evolutionary robotics.  |d Boston : De Gruyter, [2015]  |h xx, 242 pages  |z 9783110408546 
856 4 0 |u https://appknovel.uam.elogim.com/kn/resources/kpCBER0003/toc  |z Texto completo 
936 |a BATCHLOAD 
938 |a Askews and Holts Library Services  |b ASKH  |n AH27004482 
938 |a Askews and Holts Library Services  |b ASKH  |n AH27004161 
938 |a De Gruyter  |b DEGR  |n 9783110408553 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL1787101 
938 |a ebrary  |b EBRY  |n ebr11049409 
938 |a EBSCOhost  |b EBSC  |n 984276 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis29825636 
938 |a YBP Library Services  |b YANK  |n 12039103 
994 |a 92  |b IZTAP