难受 发表于 2025-3-21 16:39:09

书目名称Artificial Intelligence for Scientific Discoveries影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0162390<br><br>        <br><br>书目名称Artificial Intelligence for Scientific Discoveries读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0162390<br><br>        <br><br>

肌肉 发表于 2025-3-21 20:29:39

http://reply.papertrans.cn/17/1624/162390/162390_2.png

caldron 发表于 2025-3-22 02:51:51

Creating Experimental Setupse the behavior of such systems is often unintuitive. In this chapter, we discuss how a special kind of reinforcement learning, called projective simulation, can help to automate the creation of experimental setups.

Favorable 发表于 2025-3-22 06:19:56

http://reply.papertrans.cn/17/1624/162390/162390_4.png

梯田 发表于 2025-3-22 12:01:29

Model Testingsting a model and discovering its limitations is crucial for improving future models and guiding research. However, when there is no alternative model available, how can we determine a model’s limitations from test data alone? This chapter proposes a solution using machine learning to construct a mo

inclusive 发表于 2025-3-22 15:30:05

http://reply.papertrans.cn/17/1624/162390/162390_6.png

咆哮 发表于 2025-3-22 19:01:34

Future Research Directions and Further Readingion of searching for strategies to collect relevant observation data. The second discusses possible directions to tackle the challenge of interpreting representations extracted from experimental data in the case where we do not have a hypothesized representation.

尖酸一点 发表于 2025-3-22 23:32:58

http://reply.papertrans.cn/17/1624/162390/162390_8.png

META 发表于 2025-3-23 02:01:36

http://reply.papertrans.cn/17/1624/162390/162390_9.png

entrance 发表于 2025-3-23 06:58:43

http://reply.papertrans.cn/17/1624/162390/162390_10.png
页: [1] 2 3 4 5 6
查看完整版本: Titlebook: Artificial Intelligence for Scientific Discoveries; Extracting Physical Raban Iten Book 2023 The Editor(s) (if applicable) and The Author(