@article {10.3844/ajassp.2012.609.614,
article_type = {journal},
title = {Bayesian Framework in Repeated-Play Decision Making},
author = {Kobayashi, Yohei and Fujikawa, Takemi},
volume = {9},
year = {2012},
month = {Feb},
pages = {609-614},
doi = {10.3844/ajassp.2012.609.614},
url = {https://thescipub.com/abstract/ajassp.2012.609.614},
abstract = {Problem statement: There have been much reported on decisions from experience, also referred to as decisions in a complete ignorance fashion. Approach: This note lays out a Bayesian decision-theoretical framework that provides a computable account for decisions from experience. Results: To make the framework more tractable, this note sets up and examines decisions in an incomplete ignorance fashion. The current discussion asserts that well-known behavioural effects, such as the hot stove effect and the Bayesian framework may lead to different predictions. Conclusion/Recommendations: The framework is applied to the continuity form to predict a possibility from their experience. We conclude that the reasonable prediction is sometimes leads them to the unreasonable conditions.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}