Based on the assessment that humans do not think as a bayesian would, we suggest a model of bounded rationality assuming that people perceive images by sequences. In the likelihood judgment process, people relies on both the normative value of the probability of an event and the impression that the event would eventually occurs. The study set up a model of human judgment by specifying a function of "impression" and enables the rigorous explanation of the use of heuristics in humain reasoning. Thank to three experiments, we highlight the model's relevance. The first takes up the Linda's design, initiated by Kahneman and Tversky that putted into light the conjunction fallacy. The other two are inspired by the lawyers and engineers' experiment...
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. ...
Surprisingly effortless is the human capacity known as "mentalizing”, i.e., the ability to explain a...
AbstractMany works in the past showed that human judgments of uncertainty do not conform very well t...
AbstractPsychological evidence shows that probability theory is not a proper descriptive model of in...
Rational individuals who perceive information sequentially are confronted to cognitive dissonance an...
In order to orient ourselves in the environment our senses have evolved so as to acquire optimal inf...
Exposés à un message sur un risque, les individus traitent l'information de manière systématique et ...
There has been a recent explosion in research applying Bayesian models to cognitive phenomena. This ...
We present a computational model to explain the results from experiments in which subjects estimate ...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
1 SUMMARY In general this thesis deals with the question whether or to what extent human thinking is...
The Bayesian theorem was formulated in the 18th century and has been adopted as the theoretical basi...
The present work describes the model of heuristic judgment of Kahneman & Frederick (2002) and two ex...
We present a model of judgment under uncertainty, in which an agent combines data received from the ...
URL des Documents de travail : http://centredeconomiesorbonne.univ-paris1.fr/bandeau-haut/documents-...
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. ...
Surprisingly effortless is the human capacity known as "mentalizing”, i.e., the ability to explain a...
AbstractMany works in the past showed that human judgments of uncertainty do not conform very well t...
AbstractPsychological evidence shows that probability theory is not a proper descriptive model of in...
Rational individuals who perceive information sequentially are confronted to cognitive dissonance an...
In order to orient ourselves in the environment our senses have evolved so as to acquire optimal inf...
Exposés à un message sur un risque, les individus traitent l'information de manière systématique et ...
There has been a recent explosion in research applying Bayesian models to cognitive phenomena. This ...
We present a computational model to explain the results from experiments in which subjects estimate ...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
1 SUMMARY In general this thesis deals with the question whether or to what extent human thinking is...
The Bayesian theorem was formulated in the 18th century and has been adopted as the theoretical basi...
The present work describes the model of heuristic judgment of Kahneman & Frederick (2002) and two ex...
We present a model of judgment under uncertainty, in which an agent combines data received from the ...
URL des Documents de travail : http://centredeconomiesorbonne.univ-paris1.fr/bandeau-haut/documents-...
Updating beliefs to maintain coherence with observational evidence is a cornerstone of rationality. ...
Surprisingly effortless is the human capacity known as "mentalizing”, i.e., the ability to explain a...
AbstractMany works in the past showed that human judgments of uncertainty do not conform very well t...