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

Painstaking

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

MIME

TEM

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

腐爛

獨(dú)特性

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

IDEAS

博愛(ài)家

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

Abrupt

PURG

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