知识表示与推理
Knowledge representation and reasoning
Ronald J. Brachman、Ronald Brachman、Hector Levesque · 初版 2003 年
3位读者提及
3次提及
本书阐述了过去 50 年间发展起来的知识表示概念。
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Knowledge representation and reasoning
Ronald J. Brachman、Ronald Brachman、Hector Levesque · 初版 2003 年
本书阐述了过去 50 年间发展起来的知识表示概念。
正在加载完整评论……
行，给你拿去吧。这个书单目前只是书名和作者的原始汇总（raw dump）。等我有空了，会把它写成一篇正式的博客文章，加上更多评论、书名分类/归类、补充资源链接等等。 提醒一句……这个书单的前半部分包含了过去两年左右我读过（或正在读）的所有与“AI”相关的内容。我说“AI”
OK, here ya go. This list is, for now, just a raw dump of titles and authors. When I have some more time, I'll turn this into a proper blog post with more commentary, sorting / grouping of the titles, links to complementary resources etc. One bit of warning... the first half of this list includes everything "AI" related I've read (or am currently reading) for about the past two years. I say "AI"
……由标记为“location”的 edge 连接的 vertices，并按职业过滤 iterator（“it”在 Gremlin 中代表 iterator），条件是职业等于“Software Engineer”。更多关于图数据建模的内容，参见《Knowledge Representation and Reasoning with Graph Databases》（http://markorodriguez.com/2011/02/23/knowledge-representatio...）。用 Gremlin 排序很容易。这里有个例子：g.v(1).out.sort{it.creation_date}.reverse().toList() 这个……
…vertices connected by an edge labeled "location" and filter the iterator by occupation ("it" is Gremlin for iterator), where occupation equals "Software Engineer". For more on graph data modeling, see "Knowledge Representation and Reasoning with Graph Databases" (http://markorodriguez.com/2011/02/23/knowledge-representatio...). Sorting is easy to do using Gremlin. Here's an example: g.v(1).out.sort{it.creation_date}.reverse().toList() This…
你看过最近 AAAI 和 IJCAI 上的论文吗？那些是 AI 领域的大会，并不专门聚焦于机器学习。你可能还想了解一下 KRR（Knowledge Representation and Reasoning，知识表示与推理）以及其中一个机器人会议——可惜名字我记不清了。同样，那些会议通常也不偏重机器学习。最后，其实还有 symbolic machine learning（符号机器学习）这门东西。……
Have you looked at recent publications in AAAI and IJCAI? Those are the big conferences of AI without specific focus on machine learning. You may also want to have a look at KRR (Knowledge Representation and Reasoning) and one of the robotics conferences, whose names unfortunately I don't remmeber by heart. Again, those don't tend to focus on machine learning. Finally, there is such a thing as symbolic machine learning.…