Titlebook: Decision Making and Imperfection; Tatiana V. Guy,Miroslav Karny,David Wolpert Book 2013 Springer-Verlag Berlin Heidelberg 2013 Computation

候選人名單

書目名稱Decision Making and Imperfection影響因子(影響力)




書目名稱Decision Making and Imperfection影響因子(影響力)學科排名




書目名稱Decision Making and Imperfection網(wǎng)絡公開度




書目名稱Decision Making and Imperfection網(wǎng)絡公開度學科排名




書目名稱Decision Making and Imperfection被引頻次




書目名稱Decision Making and Imperfection被引頻次學科排名




書目名稱Decision Making and Imperfection年度引用




書目名稱Decision Making and Imperfection年度引用學科排名




書目名稱Decision Making and Imperfection讀者反饋




書目名稱Decision Making and Imperfection讀者反饋學科排名

palpitate

方舟

Michael B?hnlein,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

judicial

surmount

surmount

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.

監(jiān)禁

GOUGE

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.

艦旗

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