We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …

People can learn about the probabilistic consequences of their actions in two ways: One is
by consulting descriptions of an action's consequences and probabilities (eg, reading up on …

Od Yogiego Berry do Henriego Poincarégo Rozdział 10: SKANDAL PROGNOZOWANIA O
niesprecyzowanej liczbie kochanków carycy Katarzyny Powrót ślepoty na Czarne Łabędzie …

ABSTRACT Mechanical Turk (MTurk), an online labor system run by Amazon. com, provides
quick, easy, and inexpensive access to online research participants. As use of MTurk has …

За одно только последнее десятилетие человечество пережило ряд тяжелейших
катастроф, потрясений и катаклизмов, не укладывающихся в рамки самых …

The dilemma between information gathering (exploration) and reward seeking (exploitation)
is a fundamental problem for reinforcement learning agents. How humans resolve this …

Understanding how people interpret risks and choose actions based on their interpretations
is vital to any strategy for disaster reduction. We review relevant literature with the aim of …

The stock market shows the current health of an economy, and investment performance
represents it. This study aims to clarify the relationship between financial behavior and …

The most influential book of the past seventy-five years: a groundbreaking exploration of
everything we know about what we don't know, now with a new section called “On …

According to a common conception in behavioral decision research, two cognitive
processes—overestimation and overweighting—operate to increase the impact of rare …