When an agent chooses between prospects, noise in information processing generates an effect akin to the winner’s curse. Statistically unbiased perception systematically overvalues the chosen action because it fails to account for the possibility that noise is responsible for making the preferred action appear to be optimal. The optimal perception pattern exhibits a key feature of prospect theory, namely, overweighting of small probability events (and corresponding underweighting of high probability events). This bias arises to correct for the winner’s curse effect.
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
This paper shows why, in a world with differing priors, rational agents tend to attribute ...
Erev, Wallsten, and Budescu (1994) demonstrated that over- and underconfidence can be observed simul...
When an agent chooses between prospects, noise in information processing generates an effect akin to...
When an agent chooses between prospects, noise in information processing generates an effect akin to...
We study perception biases arising under second-best perception strategies. An agent correctly obser...
ABSTRACT: Following the Winner’s Curse and the Optimizer’s Curse, this paper introduces the Satisfic...
The paper proposes a theory of efficient perceptual distortions, in which the statistical relation b...
An optimal agent will base judgments on the strength and reliability of decision-relevant evidence. ...
Information about event probability upon which decisions depend may be more or less precise. The fir...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
ABSTRACT: Following the Winner’s Curse and the Optimizer’s Curse, this paper introduces the Satisfic...
We propose that affective forecasters overestimate the extent to which experienced hedonic responses...
In a model inspired by neuroscience, we show that constrained optimal perception encodes lottery rew...
We propose that affective forecasters overestimate the extent to which experienced hedonic responses...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
This paper shows why, in a world with differing priors, rational agents tend to attribute ...
Erev, Wallsten, and Budescu (1994) demonstrated that over- and underconfidence can be observed simul...
When an agent chooses between prospects, noise in information processing generates an effect akin to...
When an agent chooses between prospects, noise in information processing generates an effect akin to...
We study perception biases arising under second-best perception strategies. An agent correctly obser...
ABSTRACT: Following the Winner’s Curse and the Optimizer’s Curse, this paper introduces the Satisfic...
The paper proposes a theory of efficient perceptual distortions, in which the statistical relation b...
An optimal agent will base judgments on the strength and reliability of decision-relevant evidence. ...
Information about event probability upon which decisions depend may be more or less precise. The fir...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
ABSTRACT: Following the Winner’s Curse and the Optimizer’s Curse, this paper introduces the Satisfic...
We propose that affective forecasters overestimate the extent to which experienced hedonic responses...
In a model inspired by neuroscience, we show that constrained optimal perception encodes lottery rew...
We propose that affective forecasters overestimate the extent to which experienced hedonic responses...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
This paper shows why, in a world with differing priors, rational agents tend to attribute ...
Erev, Wallsten, and Budescu (1994) demonstrated that over- and underconfidence can be observed simul...