Logo do repositório
 
Publicação

Linguistic loops and geometric invariants as a way to pre-verbal thought?

datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorCorradetti, Daniele
dc.contributor.authorAlessio Marrani
dc.date.accessioned2026-01-22T12:36:25Z
dc.date.available2026-01-22T12:36:25Z
dc.date.issued2025-08-06
dc.description.abstractWe introduce the concepts of linguistic transformation, linguistic loop and semantic deficit. By exploiting Lie group theoretical and geometric techniques, we define invariants that capture the structural properties of a whole linguistic loop. This result paves the way to a totally new line of research, employing tools from Lie theory and higher-dimensional geometry within language studies. But, even more intriguingly, our study hints to a mathematical characterization of the meta-linguistic or pre-verbal thought, namely of those cognitive structures that precede the language.eng
dc.identifier.doi10.1007/978-3-032-00686-8_11
dc.identifier.isbn9783032006851
dc.identifier.isbn9783032006868
dc.identifier.urihttp://hdl.handle.net/10400.1/28170
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofArtificial General Intelligence
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleLinguistic loops and geometric invariants as a way to pre-verbal thought?eng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2025-08-11
oaire.citation.conferencePlaceReykjavic, Iceland
oaire.citation.endPage118
oaire.citation.startPage109
oaire.citation.titleArtificial General Intelligence : 18th International Conference, AGI 2025
oaire.citation.volume16057
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCorradetti
person.givenNameDaniele
person.identifier.orcid0000-0001-8086-0593
relation.isAuthorOfPublicationeb033bd7-b864-44d6-8c79-e64b25bb2b6e
relation.isAuthorOfPublication.latestForDiscoveryeb033bd7-b864-44d6-8c79-e64b25bb2b6e

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
2503.23311v1.pdf
Tamanho:
161.06 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
3.46 KB
Formato:
Item-specific license agreed upon to submission
Descrição: