Win–stay, lose–switch
id:
win-stay-lose-switch-269-7675842
title:
Win–stay, lose–switch
text:
In psychology, game theory, statistics, and machine learning, win–stay, lose–switch is a heuristic learning strategy used to model learning in decision situations. It was first invented as an improvement over randomization in bandit problems. It was later applied to the prisoner's dilemma in order to model the evolution of altruism. The learning rule bases its decision only on the outcome of the previous play. Outcomes are divided into successes (wins) and failures (losses). If the play on the p
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Win%E2%80%93stay,_lose%E2%80%93switch
date created:
date modified:
2023-04-19T05:29:05Z
main entity:
{"identifier":"Q8026660","url":"https://www.wikidata.org/entity/Q8026660"}
image:
fields total:
13
integrity:
13