Sentence examples for experience weighted from inspiring English sources

For example, even though experience weighted attraction learning is very successful in modeling behavior in one-shot games with very small, finite strategy spaces, it is not successful in modeling behavior in repeated games with a continuum strategy space unless one wants to be involved in fine tuning.

Camerer, C. F., and T. Ho, "Experience-Weighted Attraction in Games," Econometrica, 67 (1999), 827-874.

A hybrid-learning model with information acquisition that is a variant of the Generalized Experience-Weighted-Attraction (GEWA) model (Shafran, 2012) is also proposed.

We include different supply and demand representations and propose the Experience-Weighted Attractions method (Camerer and Ho, 1999) to encompass several behavioural paradigms.

> -wrap-foot>> *German population experience-weighted. **UK population preference-weighted.

To respect actual experiences in the German population, we use a recently developed German population experience-weighted EQ-5D index [ 23].

The German population experience-weighted index uses the VAS results from the general German population to allocate a value to each 5-digit state [ 27].

Thus, they do not conform to the common QALY definitions and are therefore called experience-based QALY (EB-QALY), when based on the German experience-weighted index, and VAS adjusted life years (VAS-AL), when based on the VAS scale.

The German experience-weighted index and the VAS do not fully qualify for QALY calculation as they are not based on TTO and do not include health states worse than death.

However, similar to other THR studies [ 5], they had slightly lower mean preoperative EQ-5D scores (−0.01 with the experience-weighted index), which indicates a conservative estimate and a slightly higher EQ-5D change score if these patients were included in the study.

The average cost of illness for all persons who experienced diarrheal illness, weighted by the proportion in each illness category, was $239 per person: $79 in medical costs and $160 in productivity losses.