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dc.contributor.authorRiegler, Bente
dc.contributor.authorPolani, Daniel
dc.contributor.authorSteuber, Volker
dc.date.accessioned2023-06-19T15:00:02Z
dc.date.available2023-06-19T15:00:02Z
dc.date.issued2022-07-18
dc.identifier.citationRiegler , B , Polani , D & Steuber , V 2022 , The Information Complexity of Navigating with Momentum . in The 2022 Conference on Artificial Life . , 95 , MIT Press , ALIFE 2022: The 2022 Conference on Artificial Life , 18/07/22 . https://doi.org/10.1162/isal_a_00537
dc.identifier.citationconference
dc.identifier.otherORCID: /0000-0002-3233-5847/work/137442018
dc.identifier.urihttp://hdl.handle.net/2299/26440
dc.description© 2022 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
dc.description.abstractMany models of organism navigation concern themselves in essence just with the sequence of locations visited and how to manage it. However, larger and bulkier organisms have also to deal with managing momentum. We expect that this affects the cognitive management of movement. Here we propose a simple model for the information processing complexity of navigation when velocity and acceleration are considered, moving away from a kinematic perspective to a partially dynamic model, to separate the effects of location and momentum management. The work is discussed in the context of recent neurobiological research suggesting that biological agents plan around acceleration and deceleration phases, showing high neural activity during their body's velocity changes.en
dc.format.extent8
dc.format.extent240499
dc.language.isoeng
dc.publisherMIT Press
dc.relation.ispartofThe 2022 Conference on Artificial Life
dc.titleThe Information Complexity of Navigating with Momentumen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionBiocomputation Research Group
rioxxterms.versionofrecord10.1162/isal_a_00537
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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