TY - GEN A1 - Beim Graben, Peter A1 - Huber-Liebl, Markus A1 - Klimczak, Peter A1 - Wirsching, Günther T1 - Machine Semiotics T2 - arXiv N2 - 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). KW - Semiotics KW - machine learning KW - dynamic semantics KW - pragmatic implicatures KW - fossilization Y1 - 2023 UR - https://opus4.kobv.de/opus4-UBICO/frontdoor/index/index/docId/31248 UR - https://arxiv.org/abs/2008.10522v2 SP - 1 EP - 48 ER -