Painstaking 发表于 2025-3-23 12:41:09
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.micronized 发表于 2025-3-23 15:27:12
http://reply.papertrans.cn/27/2643/264210/264210_12.pngMIME 发表于 2025-3-23 18:07:33
http://reply.papertrans.cn/27/2643/264210/264210_13.pngTEM 发表于 2025-3-23 22:11:41
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腐烂 发表于 2025-3-24 03:13:58
http://reply.papertrans.cn/27/2643/264210/264210_15.png独特性 发表于 2025-3-24 08:53:09
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 sourceIDEAS 发表于 2025-3-24 13:18:41
http://reply.papertrans.cn/27/2643/264210/264210_17.png博爱家 发表于 2025-3-24 18:09:03
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 manAbrupt 发表于 2025-3-24 22:33:22
http://reply.papertrans.cn/27/2643/264210/264210_19.pngPURG 发表于 2025-3-25 00:37:34
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