Behavioral Variety of a Node-Based Sensorimotor-to-Motor Map

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dc.contributor.author Woolford, Michael en
dc.contributor.author Egbert, Matthew en
dc.date.accessioned 2020-09-10T21:49:17Z en
dc.date.available 2020-09-10T21:49:17Z en
dc.date.issued 2019-04-10 en
dc.identifier.citation Adaptive Behavior 10 Apr 2019 en
dc.identifier.issn 1059-7123 en
dc.identifier.uri http://hdl.handle.net/2292/52803 en
dc.description.abstract The iterant deformable sensorimotor medium (IDSM) is a controller that has been used to study habits construed as self-sustaining patters of sensorimotor activity. To understand the dynamics of this controller, we investigate a heavily simplified variation of it called a node-based sensorimotor-to-motor map (NB-SMM). This deterministic, stateless, continuous-time controller coupled to a minimalistic robot and environment demonstrates six distinct categories of behaviour, including an ability to distinguish between the two sides of a symmetric stimulus, suggesting that controllers based purely on sensorimotor-state to motor mappings may be more capable than intuition first suggests. As the number of nodes increases, the potential behavioural complexity also increases. With two nodes, cycles become possible, along with systems which produce multiple behaviours depending upon initial conditions. This hints at the potential behavioural complexity of a system with many more nodes and provides insight into the kinds of behaviours that might be accomplished by IDSM-controlled robots or virtual agents. en
dc.publisher SAGE Publications en
dc.relation.ispartofseries Adaptive Behavior en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Behavioral Variety of a Node-Based Sensorimotor-to-Motor Map en
dc.type Journal Article en
dc.identifier.doi 10.1177/1059712319839061 en
dc.rights.holder Copyright: The author en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 809868 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.record-created-at-source-date 2020-08-07 en
pubs.online-publication-date 2019-04-10 en


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