| 书目名称 | Knowledge Acquisition: Selected Research and Commentary |
| 副标题 | A Special Issue of M |
| 编辑 | Sandra Marcus |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I‘ve tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan‘s editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat‘s editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes w |
| 出版日期 | Book 1990 |
| 关键词 | artificial intelligence; expert system; knowledge; knowledge base; knowledge-based system; knowledge-base |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-1531-5 |
| isbn_softcover | 978-1-4612-8821-3 |
| isbn_ebook | 978-1-4613-1531-5Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Kluwer Academic Publishers 1990 |
发表于 2025-3-21 17:58:03
