Some Experiments on the influence of Problem Hardness in Morphological Development based Learning of Neural Controllers
- Martin Naya,
- ,
- Richard Duro
- University of A Coruna,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-reviewOpen access
Abstract
Natural beings undergo a morphological development process of their bodies while they are learning and adapting to the environments they face from infancy to adulthood. In fact, this is the period where the most important learning processes, those that will support learning as adults, will take place. However, in artificial systems, this interaction between morphological development and learning, and its possible advantages, have seldom been considered. In this line, this paper seeks to provide some insights into how morphological development can be harnessed in order to facilitate learning in embodied systems facing tasks or domains that are hard to learn. In particular, here we will concentrate on whether morphological development can really provide any advantage when learning complex tasks and whether its relevance towards learning increases as tasks become harder. To this end, we present the results of some initial experiments on the application of morphological development to learning to walk in three cases, that of a quadruped, a hexapod and that of an octopod. These results seem to confirm that as task learning difficulty increases the application of morphological development to learning becomes more advantageous.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-reviewHost publication Subtitle
HAIS2020Original language
EnglishPages from-to (Number of pages)
Pages 362-373Publication milestones
- Published - 2020
Publication status
Published - 2020
Publisher
Springer, United States, GermanyBook series
- Book series name: Lecture Notes in Computer Science
Volume: 12344
ISSN: 0302-9743
ISBN (Print)
978-3-030-61704-2ISBN (Electronic)
978-3-030-61705-9Publication IDs
- Scopus: 85097059677
Host publication title
Proceedings of the 15th International Conference on Hybrid Artificial Intelligence Systems Publication metrics
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8
Citation count
6
Access to documents
Submitted manuscript, 440.03 KB
Related Event
Title
International Conference on Hybrid Artificial Intelligence Systems
Event type
ConferenceDegree of recognition
International eventDate
11/11/2020 - 13/11/2020Location
GijónSpain
