標(biāo)題: Titlebook: Decision Making and Imperfection; Tatiana V. Guy,Miroslav Karny,David Wolpert Book 2013 Springer-Verlag Berlin Heidelberg 2013 Computation [打印本頁(yè)] 作者: 候選人名單 時(shí)間: 2025-3-21 17:51
書(shū)目名稱Decision Making and Imperfection影響因子(影響力)
書(shū)目名稱Decision Making and Imperfection影響因子(影響力)學(xué)科排名
書(shū)目名稱Decision Making and Imperfection網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Decision Making and Imperfection網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Decision Making and Imperfection被引頻次
書(shū)目名稱Decision Making and Imperfection被引頻次學(xué)科排名
書(shū)目名稱Decision Making and Imperfection年度引用
書(shū)目名稱Decision Making and Imperfection年度引用學(xué)科排名
書(shū)目名稱Decision Making and Imperfection讀者反饋
書(shū)目名稱Decision Making and Imperfection讀者反饋學(xué)科排名
作者: palpitate 時(shí)間: 2025-3-21 20:32 作者: 方舟 時(shí)間: 2025-3-22 00:48
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.作者: Debility 時(shí)間: 2025-3-22 06:01 作者: judicial 時(shí)間: 2025-3-22 10:03 作者: surmount 時(shí)間: 2025-3-22 15:14 作者: surmount 時(shí)間: 2025-3-22 21:02
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.作者: 監(jiān)禁 時(shí)間: 2025-3-22 22:32 作者: GOUGE 時(shí)間: 2025-3-23 02:39
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.作者: 艦旗 時(shí)間: 2025-3-23 05:32
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作者: Painstaking 時(shí)間: 2025-3-23 12:41
Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making,making their decision in association with positive emotions. Honest, conscientious, and introverted participants were more likely to accept offers. Our results suggest that factors others than a rational strategy may predict economic decision-making in the UG.作者: micronized 時(shí)間: 2025-3-23 15:27 作者: MIME 時(shí)間: 2025-3-23 18:07 作者: TEM 時(shí)間: 2025-3-23 22:11
Data Mining: Statistical Analysiss 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作者: 腐爛 時(shí)間: 2025-3-24 03:13 作者: 獨(dú)特性 時(shí)間: 2025-3-24 08:53
Book 2013sions;.?.·???????? ?how to decrease decision makers‘ imperfection by reducing knowledge available;.?.·???????? ?how to decrease imperfection via automated elicitation of DM preferences;.?.·???????? ?a human‘s limited willingness to master the available decision-support tools as an additional source 作者: IDEAS 時(shí)間: 2025-3-24 13:18 作者: 博愛(ài)家 時(shí)間: 2025-3-24 18:09
Distributed Decision Making by Categorically-Thinking Agents,al thinking by Bayesian decision makers is modeled as classifying objects into a small number of categories with respect to their prior probabilities. The classification follows a quantization rule for the prior probabilities. The categorical thinking enables decision makers to handle infinitely man作者: Abrupt 時(shí)間: 2025-3-24 22:33 作者: PURG 時(shí)間: 2025-3-25 00:37
Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future,the following desirable characteristics: (1) Bounded rational players, (2) strategic players (i.e., players account for one another’s reward functions when predicting one another’s behavior), and (3) computational tractability even on real-world systems. We achieve these benefits by combining concep作者: 聚集 時(shí)間: 2025-3-25 04:52 作者: optional 時(shí)間: 2025-3-25 09:53
An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent,ility to make decisions based on a reasonable value system, and the perception of the surrounding environment, including the incumbent persons. In this chapter, we provide a model that supports the decision making process of an autonomous agent that imperfectly perceives its environment and the acti作者: Ondines-curse 時(shí)間: 2025-3-25 15:19 作者: macabre 時(shí)間: 2025-3-25 18:14 作者: 善辯 時(shí)間: 2025-3-25 20:49 作者: 呼吸 時(shí)間: 2025-3-26 00:11
Data Mining: Statistical Analysisal thinking by Bayesian decision makers is modeled as classifying objects into a small number of categories with respect to their prior probabilities. The classification follows a quantization rule for the prior probabilities. The categorical thinking enables decision makers to handle infinitely man作者: 粗俗人 時(shí)間: 2025-3-26 05:29 作者: 浮夸 時(shí)間: 2025-3-26 09:26 作者: 挑剔小責(zé) 時(shí)間: 2025-3-26 13:35 作者: 帳單 時(shí)間: 2025-3-26 17:25 作者: 蜿蜒而流 時(shí)間: 2025-3-26 22:22
https://doi.org/10.1007/978-3-642-36406-8Computational Intelligence; Decision Making; Imperfection作者: essential-fats 時(shí)間: 2025-3-27 03:07 作者: DAFT 時(shí)間: 2025-3-27 08:29
Decision Making and Imperfection978-3-642-36406-8Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 暫時(shí)別動(dòng) 時(shí)間: 2025-3-27 11:51
https://doi.org/10.1007/978-3-642-99153-0puter in-house that provided a programmers’ interface that had the look and feel of AMOS. The result was COSMOS, about 50 times faster than AMOS. During January 1967 all work was smoothly transferred to COSMOS and AMOS was switched off.作者: clarify 時(shí)間: 2025-3-27 14:42
Heuristic Based SCA for Twin Robot Cooperation and Path Planning,ared to improved PSO, shortest distance algorithm, and sine cosine algorithm generating an optimal collision free path with cooperation. The robustness of the proposed algorithm has been proved in terms of solution quality, path, cost, and performance.作者: chlorosis 時(shí)間: 2025-3-27 21:44
J. Schneider,H. Schrempfictoria, in 1896, although it was at this time that she began writing ., the book that enabled such media interest in the first place. . simply notes in passing that ‘Miss Cholmondeley left Shropshire in 1896, her father having resigned the living of Hodnet owing to weak health and having been oblig作者: canonical 時(shí)間: 2025-3-28 01:09 作者: STELL 時(shí)間: 2025-3-28 02:09 作者: 記憶 時(shí)間: 2025-3-28 08:49 作者: CAMP 時(shí)間: 2025-3-28 14:05 作者: Protein 時(shí)間: 2025-3-28 16:26