Knowledge representation and reasoning
by Ronald J. Brachman, Ronald Brachman, Hector Levesque · first published 2003
3mentions
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3HN commenters
2011–2021first – last mentioned
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This text illustrates the knowledge representation concepts developed over the last 50 years.
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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"
on “Ask HN: What projects are you working on now?” ↗…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…
on “List of graph databases” ↗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.…
on “Why AI is harder than we think” ↗