Book
Natural Language Understanding and Cognitive Robotics
| Identifier | --masaoyokot-1691 |
|---|---|
| Penulis / Pengarang | Masao Yokota |
| Kata Kunci | Natural Language |
| Tanggal Publikasi | 02 Feb 2020 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | This book describes the challenges of providing robots with human-like capability of natural language understanding as the central part of integrative multimedia understanding. The core of the methodology is my original theory named mental image directed semantic theory, based on the understanding that natural language understanding by humans is essentially the processing of mental images associated with natural language expressions, i.e., mental-image based understanding. Mental image directed semantic theory is intended to model omnisensory mental image in humans and to provide knowledge of representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities, such as humans and robots, based on a mental image model and its description language named mental image description language. This language works as an interlingua among various kinds of information media and has been applied to various versions of the intelligent system named IMAGES. Among them, its latest version conversation management system, is a good example of artificial general intelligence performing integrative multimedia understanding as well. Conversation management system simulates human mental-image based understanding and comprehends users’ intention through dialogue in order to find solutions, and return responses in text or animation. |
File Lampiran / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 2020 Natural language understanding and cognitive robotics by Yokota, Masao.pdf | application/pdf | 6,8 MB | ⬇️ Buka / Download |
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