The Resource Complex Behavior in Evolutionary Robotics, (electronic resource)

Complex Behavior in Evolutionary Robotics, (electronic resource)

Label
Complex Behavior in Evolutionary Robotics
Title
Complex Behavior in Evolutionary Robotics
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
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
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
König, Lukas
Dewey number
  • 629.8
  • 629.892
Language note
English
LC call number
TJ211.37 .K66 2015
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Kèonig, Lukas.
http://library.link/vocab/subjectName
  • Evolution (Biology) -- Simulation methods
  • Evolutionary robotics
  • Technological forecasting
  • Evolutionary robotics
  • Mechanical Engineering
  • Engineering & Applied Sciences
  • Mechanical Engineering - General
Label
Complex Behavior in Evolutionary Robotics, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • 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
  • 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
  • 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
  • 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
  • 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
  • 5.3 Evaluation of the Proposed Evolutionary Model
Dimensions
unknown
Extent
1 online resource (262 p.)
Form of item
electronic
Isbn
9783110409185
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)3710000000393036
  • (EBL)1787101
  • (SSID)ssj0001458299
  • (PQKBManifestationID)12603626
  • (PQKBTitleCode)TC0001458299
  • (PQKBWorkID)11451794
  • (PQKB)11325771
  • (EXLCZ)993710000000393036
Label
Complex Behavior in Evolutionary Robotics, (electronic resource)
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • 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
  • 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
  • 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
  • 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
  • 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
  • 5.3 Evaluation of the Proposed Evolutionary Model
Dimensions
unknown
Extent
1 online resource (262 p.)
Form of item
electronic
Isbn
9783110409185
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)3710000000393036
  • (EBL)1787101
  • (SSID)ssj0001458299
  • (PQKBManifestationID)12603626
  • (PQKBTitleCode)TC0001458299
  • (PQKBWorkID)11451794
  • (PQKB)11325771
  • (EXLCZ)993710000000393036

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