候选人名单 发表于 2025-3-21 17:51:46
书目名称Decision Making and Imperfection影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0264210<br><br> <br><br>书目名称Decision Making and Imperfection读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0264210<br><br> <br><br>palpitate 发表于 2025-3-21 20:32:11
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Michael Böhnlein,Achim Ulbrich-vom Ended reinforcement learning algorithms. We call this hybrid approach ”level-K reinforcement learning”. We investigate these ideas in a cyber battle scenario over a smart power grid and discuss the relationship between the behavior predicted by our model and what one might expect of real human defenders and attackers.Debility 发表于 2025-3-22 06:01:37
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An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent,e information about the world around it, which may serve as a cognitive personal assistant, may be used with kids for educational, recreational and therapeutic purposes and with elderly people for companion purposes.监禁 发表于 2025-3-22 22:32:33
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Dynamic Bayesian Combination of Multiple Imperfect Classifiers,n makers, based on their inferred decision making strategies, and show that natural groupings are formed. Finally we present a dynamic Bayesian classifier combination approach and investigate the changes in base classifier performance over time.舰旗 发表于 2025-3-23 05:32:36
Distributed Decision Making by Categorically-Thinking Agents,s is investigated so as to achieve the minimum mean Bayes risk; optimal quantizers are designed by a novel extension to the Lloyd-Max algorithm. It is proven that agents using identical quantizers are not optimal. Thus diversity in the individual agents’ quantizers leads to optimal performance. In a