دورية أكاديمية
Phenotypic complexity and evolvability in evolving robots
| العنوان: | Phenotypic complexity and evolvability in evolving robots |
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| المؤلفون: | Nicola Milano, Stefano Nolfi |
| المصدر: | Frontiers in Robotics and AI, Vol 9 (2022) |
| بيانات النشر: | Frontiers Media S.A., 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Mechanical engineering and machinery LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | evolutionary robotics, complexity, evolvability, elastic soft-robots, evolving morphologies, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | The propensity of evolutionary algorithms to generate compact solutions have advantages and disadvantages. On one side, compact solutions can be cheaper, lighter, and faster than less compact ones. On the other hand, compact solutions might lack evolvability, i.e. might have a lower probability to improve as a result of genetic variations. In this work we study the relation between phenotypic complexity and evolvability in the case of soft-robots with varying morphology. We demonstrate a correlation between phenotypic complexity and evolvability. We demonstrate that the tendency to select compact solutions originates from the fact that the fittest robots often correspond to phenotypically simple robots which are robust to genetic variations but lack evolvability. Finally, we demonstrate that the efficacy of the evolutionary process can be improved by increasing the probability of genetic variations which produce a complexification of the agents’ phenotype or by using absolute mutation rates. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2296-9144 |
| Relation: | https://www.frontiersin.org/articles/10.3389/frobt.2022.994485/full; https://doaj.org/toc/2296-9144 |
| DOI: | 10.3389/frobt.2022.994485 |
| URL الوصول: | https://doaj.org/article/4f14f6ada6574e6697f5754ad4ac09df |
| رقم الأكسشن: | edsdoj.4f14f6ada6574e6697f5754ad4ac09df |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22969144 |
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| DOI: | 10.3389/frobt.2022.994485 |