Robot regulatory behaviour based on fundamental homeostatic and allostatic principles
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Guerrero-Rosado, Oscar
- dc.contributor.author Verschure, Paul F. M. J.
- dc.date.accessioned 2023-02-23T07:07:23Z
- dc.date.available 2023-02-23T07:07:23Z
- dc.date.issued 2021
- dc.description.abstract Animals in their ecological context behave not only in response to external events, such as opportunities and threats but also according to their internal needs. As a result, the survival of the organism is achieved through regulatory behaviour. Although homeostatic and allostatic principles play an important role in such behaviour, how an animal’s brain implements these principles is not fully understood yet. In this paper, we propose a new model of regulatory behaviour inspired by the functioning of the medial Reticular Formation (mRF). This structure is spread throughout the brainstem and has shown generalized Central Nervous System (CNS) arousal control and fundamental action-selection properties. We propose that a model based on the mRF allows the flexibility needed to be implemented in diverse domains, while it would allow integration of other components such as place cells to enrich the agent’s performance. Such a model will be implemented in a mobile robot that will navigate replicating the behaviour of the sand-diving lizard, a benchmark for regulatory behaviour.
- dc.description.sponsorship This work has received funding from the Horizon 2020 under grant agreement of the project ReHyb, ID: 871767; and of the project HR-Recycler ID: 820742.
- dc.format.mimetype application/pdf
- dc.identifier.citation Guerrero-Rosado O, Verschure PFMJ. Robot regulatory behaviour based on fundamental homeostatic and allostatic principles. Procedia Comput Sci. 2021;190:292-300. DOI: 10.1016/j.procs.2021.06.039
- dc.identifier.doi http://dx.doi.org/10.1016/j.procs.2021.06.039
- dc.identifier.issn 1877-0509
- dc.identifier.uri http://hdl.handle.net/10230/55875
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Procedia Computer Science. 2021;190:292-300.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/871767
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820742
- dc.rights © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0
- dc.subject.keyword Allostasis
- dc.subject.keyword Homeostasis
- dc.subject.keyword Regulatory Behaviour
- dc.subject.keyword Action Selection
- dc.subject.keyword Reticular Formation
- dc.subject.keyword Cognitive Architecture
- dc.title Robot regulatory behaviour based on fundamental homeostatic and allostatic principles
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion