Complex Behavior in Evolutionary Robotics / / Lukas König.
Es werden vier neue Lösungsansätze für Probleme aus dem Bereich Evolutionäre Robotik bzw. Agenten-Simulation wissenschaftlich untersucht. Von besonderem Interesse ist eine neuartige Methode zur Imitierung der natürlichen Evolution in ihrer Fähigkeit, die eigenen Mutations- und Rekombinationsoperatio...
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Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2015] ©2015 |
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König, Lukas, author. aut http://id.loc.gov/vocabulary/relators/aut Complex Behavior in Evolutionary Robotics / Lukas König. München ; Wien : De Gruyter Oldenbourg, [2015] ©2015 1 online resource (242 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Notations -- 1. Introduction -- 2. Robotics, Evolution and Simulation -- 3. The Easy Agent Simulation -- 4. Evolution Using Finite State Machines -- 5. Evolution and the Genotype-Phenotype Mapping -- 6. Data Driven Success Prediction of Evolution in Complex Environments -- 7. Conclusion -- References -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Es werden vier neue Lösungsansätze für Probleme aus dem Bereich Evolutionäre Robotik bzw. Agenten-Simulation wissenschaftlich untersucht. Von besonderem Interesse ist eine neuartige Methode zur Imitierung der natürlichen Evolution in ihrer Fähigkeit, die eigenen Mutations- und Rekombinationsoperationen während der Evolution von Robotern anzupassen. Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Evolutionary robotics. Artificial Intelligence. Automation. Complex Behaviour. Robotics. Swarm Robotics. Technology & Engineering / Robotics. bisacsh Title is part of eBook package: De Gruyter DG Plus eBook-Package 2015 9783110700985 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2015 9783110439687 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2015 9783110438772 ZDB-23-DEI EPUB 9783110409185 print 9783110408546 https://doi.org/10.1515/9783110408553 https://www.degruyter.com/isbn/9783110408553 Cover https://www.degruyter.com/cover/covers/9783110408553.jpg |
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English |
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eBook |
author |
König, Lukas, König, Lukas, |
spellingShingle |
König, Lukas, König, Lukas, Complex Behavior in Evolutionary Robotics / Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Notations -- 1. Introduction -- 2. Robotics, Evolution and Simulation -- 3. The Easy Agent Simulation -- 4. Evolution Using Finite State Machines -- 5. Evolution and the Genotype-Phenotype Mapping -- 6. Data Driven Success Prediction of Evolution in Complex Environments -- 7. Conclusion -- References -- Index |
author_facet |
König, Lukas, König, Lukas, |
author_variant |
l k lk l k lk |
author_role |
VerfasserIn VerfasserIn |
author_sort |
König, Lukas, |
title |
Complex Behavior in Evolutionary Robotics / |
title_full |
Complex Behavior in Evolutionary Robotics / Lukas König. |
title_fullStr |
Complex Behavior in Evolutionary Robotics / Lukas König. |
title_full_unstemmed |
Complex Behavior in Evolutionary Robotics / Lukas König. |
title_auth |
Complex Behavior in Evolutionary Robotics / |
title_alt |
Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Notations -- 1. Introduction -- 2. Robotics, Evolution and Simulation -- 3. The Easy Agent Simulation -- 4. Evolution Using Finite State Machines -- 5. Evolution and the Genotype-Phenotype Mapping -- 6. Data Driven Success Prediction of Evolution in Complex Environments -- 7. Conclusion -- References -- Index |
title_new |
Complex Behavior in Evolutionary Robotics / |
title_sort |
complex behavior in evolutionary robotics / |
publisher |
De Gruyter Oldenbourg, |
publishDate |
2015 |
physical |
1 online resource (242 p.) |
contents |
Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Notations -- 1. Introduction -- 2. Robotics, Evolution and Simulation -- 3. The Easy Agent Simulation -- 4. Evolution Using Finite State Machines -- 5. Evolution and the Genotype-Phenotype Mapping -- 6. Data Driven Success Prediction of Evolution in Complex Environments -- 7. Conclusion -- References -- Index |
isbn |
9783110408553 9783110700985 9783110439687 9783110438772 9783110409185 9783110408546 |
callnumber-first |
T - Technology |
callnumber-subject |
TJ - Mechanical Engineering and Machinery |
callnumber-label |
TJ211 |
callnumber-sort |
TJ 3211.37 |
url |
https://doi.org/10.1515/9783110408553 https://www.degruyter.com/isbn/9783110408553 https://www.degruyter.com/cover/covers/9783110408553.jpg |
illustrated |
Not Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
620 - Engineering |
dewey-ones |
629 - Other branches of engineering |
dewey-full |
629.892 |
dewey-sort |
3629.892 |
dewey-raw |
629.892 |
dewey-search |
629.892 |
doi_str_mv |
10.1515/9783110408553 |
oclc_num |
979626854 |
work_keys_str_mv |
AT koniglukas complexbehaviorinevolutionaryrobotics |
status_str |
n |
ids_txt_mv |
(DE-B1597)445215 (OCoLC)979626854 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2015 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2015 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2015 |
is_hierarchy_title |
Complex Behavior in Evolutionary Robotics / |
container_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2015 |
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1806144368866754560 |
fullrecord |
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