| 书目名称 | Machine Learning of Robot Assembly Plans |
| 编辑 | Alberto Maria Segre |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | The study of artificial intelligence (AI) is indeed a strange pursuit. Unlike most other disciplines, few AI researchers even agree on a mutually acceptable definition of their chosen field of study. Some see AI as a sub field of computer science, others see AI as a computationally oriented branch of psychology or linguistics, while still others see it as a bag of tricks to be applied to an entire spectrum of diverse domains. This lack of unified purpose among the AI community makes this a very exciting time for AI research: new and diverse projects are springing up literally every day. As one might imagine, however, this diversity also leads to genuine difficulties in assessing the significance and validity of AI research. These difficulties are an indication that AI has not yet matured as a science: it is still at the point where people are attempting to lay down (hopefully sound) foundations. Ritchie and Hanna [1] posit the following categorization as an aid in assessing the validity of an AI research endeavor: (1) The project could introduce, in outline, a novel (or partly novel) idea or set of ideas. (2) The project could elaborate the details of some approach. Starting with t |
| 出版日期 | Book 1988 |
| 关键词 | artificial intelligence; classification; intelligence; knowledge representation; learning; linguistics; ma |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-1691-6 |
| isbn_softcover | 978-1-4612-8954-8 |
| isbn_ebook | 978-1-4613-1691-6Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Kluwer Academic Publishers 1988 |
发表于 2025-3-21 18:01:15
