论文标题
机器符号学
Machine Semiotics
论文作者
论文摘要
认识到人类和机器的符号学之间的基本差异提出了克服当前语音辅助设备的缺点的可能性。对于机器而言，（人）话语的含义是由自己的行动范围定义的。因此，机器不需要理解话语的常规含义。相反，他们从（新的）格里斯语实用主义者的意义上提出了对话含义。对于语音辅助设备，了解人类话语的机器特异性含义，即通过通过词汇化通过反复试验和错误将对话性牵连到常规的含义似乎就足够了。使用认知加热设备的相当微不足道的示例，我们表明 - 基于动态语义 - 可以将此过程形式化，因为强化说话含义对（UMP）。
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).
