| Boolean networks and petri nets have been important in biology since the 60s and 70s. If you don't know that history, there are thousands of papers and books to get you up to speed with the intuition and practice behind them. You should not be depressed when you meet a topic with a long history like this - the history is usually linked in the papers own bibliography. Get reading instead! You are wrong about what science papers are - they're more than just territory markers to claim ownership of ideas. They also explain the idea and get people interested in building on it and using it to create value for humanity. This paper is pretty simple and sweet, but it needs more than a couple pages to: 1. Define trap spaces and sketch their history and usefulness 2. Prove they're equivalent to conflict free siphons 3. Explore some ways to calculate siphons 4. Show that these ways all beat the pants off existing trap space methods This is all intuitive - and there are a bunch of references in the bibliography if you want to learn more. One reference is the author's earlier work, which should have more intuition, but less polish, than the current paper. We could criticize the work. The author clearly took their proof from an earlier paper, bolted some benchmarks onto it, and republished it. And unless we're experts, we have to trust the author included the best possible competing solutions in that benchmark. But assuming the author is honest, the benchmarks are impressive. It took serious work to implement their methods and build the benchmark. So it's hard to hate the author here for consolidating their win. To really criticize the paper - and see if it's as useful as the tests suggest - we'd want to run the experiment and verify the competing techniques represent the state of the art and were configured correctly. It would be fun! I encourage you to learn how to read science. Science does need our criticism and contribution, very much so. But before we can criticize it constructively, we must care about a specific topic, and educate ourselves as much as possible. It doesn't help humanity to give cookie cutter criticisms about papers we don't care about. Let's unleash criticism that gives true value to humanity, and extends what science can do! |