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dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2010-04-22T07:56:07Z
dc.date.available2010-04-22T07:56:07Z
dc.date.issued2001
dc.identifier.citationNehaniv , C L & Dautenhahn , K 2001 , ' Like Me? - Measures of Correspondence and Imitation ' , Cybernetics and Systems , vol. 32 , no. 1-2 , pp. 11-51 . https://doi.org/10.1080/019697201300001803
dc.identifier.issn0196-9722
dc.identifier.otherPURE: 97692
dc.identifier.otherPURE UUID: b6574e90-a257-4169-b465-52f1c97d9d9f
dc.identifier.otherdspace: 2299/4433
dc.identifier.otherScopus: 0012876250
dc.identifier.urihttp://hdl.handle.net/2299/4433
dc.descriptionOriginal article can be found at: http://www.informaworld.com/smpp/title~content=t713722751 Copyright Informa / Taylor and Francis Group. DOI: 10.1080/019697201300001803 [Full text of this article is not available in the UHRA]
dc.description.abstractImitation is a powerful mechanism for efficient learning of novel behaviors that both supports and takes advantage of sociality. A fundamental problem for imitation is to create an appropriate (partial) mapping between the body of the system being imitated and the imitator. By considering for each of these two systems an associated automaton (respectively, transformation semigroup) structure, attempts at such mapping can be considered (partial) relational homomorphisms. This article shows how mathematical techniques can be applied to characterize how far a behavior is from a successful imitation and how to evaluate attempts at imitation arising from a particular correspondence between the imitator and model. For the imitator and the imitated, affordances in the agent-environment structural coupling are likely to be different, all the more so in the case of dissimilar embodiment. We argue that the use of what is afforded to the imitator to attain corresponding effects or, as in dance, sequences of effects, is necessary and sufficient for successful imitation. However, the judged degree of success or failure of an attempted behavioral match depends on some externally imposed or in the case ofautonomous agents internally determined criteria on effects of the attempted imitative behavior (including effects attained successively as well as final effects). These criteria correspond to metrics measures of difference which can guide the evaluation of a correspondence, the learning of a correspondence, or learning how to apply one. Metrics on states and sequences of action events in the system-environment coupling allow judgment of similarity for observer-dependent' purposes. This allows one to formally define successful imitation with respect to such criteria. The resulting measures can be used to compare various candidate mappings (e.g., body plan or perception-action correspondences). Additionally, this may be applied in the automated construction and learning of mappings to be used in imitation for artificial, hardware, and software systems.en
dc.language.isoeng
dc.relation.ispartofCybernetics and Systems
dc.titleLike Me? - Measures of Correspondence and Imitationen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2001
rioxxterms.versionofrecordhttps://doi.org/10.1080/019697201300001803
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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