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    <abstract>Triadic representations that temporally order events and states are described, consisting of strings and sets of strings of bounded but refinable granularities. The strings are compressed according to J.A. Wheeler’s dictum it-from-bit, with bits given by statives and non-statives alike. A choice of vocabulary and constraints expressed in that vocabulary shape representations of cause-and-effect with deformations characteristic, Mumford posits, of patterns at various levels of cognitive processing. These deformations point to an ongoing process of learning, formulated as grammatical inference of finite automata, structured around Goguen and Burstall’s institutions.</abstract>
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%0 Conference Proceedings
%T Triadic temporal representations and deformations
%A Fernando, Tim
%Y Chatzikyriakidis, Stergios
%Y de Paiva, Valeria
%S Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
%D 2023
%8 June
%I Association for Computational Linguistics
%C Nancy, France
%F fernando-2023-triadic
%X Triadic representations that temporally order events and states are described, consisting of strings and sets of strings of bounded but refinable granularities. The strings are compressed according to J.A. Wheeler’s dictum it-from-bit, with bits given by statives and non-statives alike. A choice of vocabulary and constraints expressed in that vocabulary shape representations of cause-and-effect with deformations characteristic, Mumford posits, of patterns at various levels of cognitive processing. These deformations point to an ongoing process of learning, formulated as grammatical inference of finite automata, structured around Goguen and Burstall’s institutions.
%U https://aclanthology.org/2023.naloma-1.6
%P 51-61

Markdown (Informal)

[Triadic temporal representations and deformations](https://aclanthology.org/2023.naloma-1.6) (Fernando, NALOMA-WS 2023)

• Triadic temporal representations and deformations (Fernando, NALOMA-WS 2023)

ACL

• Tim Fernando. 2023. Triadic temporal representations and deformations. In Proceedings of the 4th Natural Logic Meets Machine Learning Workshop, pages 51–61, Nancy, France. Association for Computational Linguistics.