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Machine Semiotics

  • Recognizing a basic difference between the semiotics of humans and machines presents a possibility to overcome the shortcomings of current speech assistive devices. For the machine, the meaning of a (human) utterance is defined by its own scope of actions. Machines, thus, do not need to understand the conventional meaning of an utterance. Rather, they draw conversational implicatures in the sense of (neo-)Gricean pragmatics. For speech assistive devices, the learning of machine-specific meanings of human utterances, i.e. the fossilization of conversational implicatures into conventionalized ones by trial and error through lexicalization appears to be sufficient. Using the quite trivial example of a cognitive heating | device, we show that — based on dynamic semantics — this process can be formalized as the reinforcement learning of utterance-meaning pairs (UMP).

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Metadaten
Author: Peter Beim Graben, Markus Huber-Liebl, Peter KlimczakGND, Günther Wirsching
URL:https://arxiv.org/abs/2008.10522v2
Title of the source (English):arXiv
Document Type:Scientific journal article not peer-reviewed
Language:English
Year of publication:2023
Tag:Semiotics; dynamic semantics; fossilization; machine learning; pragmatic implicatures
First Page:1
Last Page:48
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Kommunikationstechnik
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