dc.contributor.author | Riegler, Bente | |
dc.contributor.author | Polani, Daniel | |
dc.contributor.author | Steuber, Volker | |
dc.date.accessioned | 2021-04-13T23:05:34Z | |
dc.date.available | 2021-04-13T23:05:34Z | |
dc.date.issued | 2021-04-12 | |
dc.identifier.citation | Riegler , B , Polani , D & Steuber , V 2021 , ' Embodiment and its Influence on Informational Costs of Decision Density — Atomic Actions vs. Scripted Sequences ' , Frontiers in Robotics and AI , vol. 8 , 535158 . https://doi.org/10.3389/frobt.2021.535158 | |
dc.identifier.issn | 2296-9144 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/92336899 | |
dc.identifier.uri | http://hdl.handle.net/2299/24255 | |
dc.description | © 2021 Riegler, Polani and Steuber. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. https://creativecommons.org/licenses/by/4.0/ | |
dc.description.abstract | The importance of embodiment for effective robot performance has been postulated for a long time. Despite this, only relatively recently concrete quantitative models were put forward to characterize the advantages provided by a well-chosen embodiment. We here use one of these models, based on the concept of relevant information, to identify in a minimalistic scenario how and when embodiment affects the decision density. Concretely, we study how embodiment affects information costs when, instead of atomic actions, scripts are introduced, that is, predefined action sequences. Their inclusion can be treated as a straightforward extension of the basic action space. We will demonstrate the effect on informational decision cost of utilizing scripts vs. basic actions using a simple navigation task. Importantly, we will also employ a world with “mislabeled” actions, which we will call a “twisted” world. This is a model which had been used in an earlier study of the influence of embodiment on decision costs. It will turn out that twisted scenarios, as opposed to well-labeled (“embodied”) ones, are significantly more costly in terms of relevant information. This cost is further worsened when the agent is forced to lower the decision density by employing scripts (once a script is triggered, no decisions are taken until the script has run to its end). This adds to our understanding why well-embodied (interpreted in our model as well-labeled) agents should be preferable, in a quantifiable, objective sense. | en |
dc.format.extent | 19 | |
dc.format.extent | 2346131 | |
dc.language.iso | eng | |
dc.relation.ispartof | Frontiers in Robotics and AI | |
dc.title | Embodiment and its Influence on Informational Costs of Decision Density — Atomic Actions vs. Scripted Sequences | en |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Centre of Data Innovation Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Biocomputation Research Group | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.3389/frobt.2021.535158 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |