Human intuition is a rich and useful guide to uncertain events in the environment but suffers from probabilistic incoherence in the technical sense. Developing methods for extracting a coherent body of judgement that is maximally consistent with a person's intuition is a challenging task for cognitive psychology, and also relevant to the construction of artificial expert systems. The present article motivates this problem, and outlines one approach to it.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/31673/1/0000609.pd
The Bayesian approach to the psychology of reasoning generalizes binary logic, extending the binary ...
What type of probability theory best describes the way humans make judgments under uncertainty and d...
Experts are increasingly being called upon to build decision support systems. Expert intuitions and ...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
AbstractMany works in the past showed that human judgments of uncertainty do not conform very well t...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
Bayesian cognitive science sees the mind as a spectacular probabilistic inference machine. But Judgm...
AbstractWe take coherence based probability logic as the basic reference theory to model human deduc...
The Bayesian approach to the psychology of reasoning generalizes binary logic, extending the binary ...
A recent development in the cognitive science of reasoning has been the emergence of a probabilistic...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
The purpose of this thesis was to better understand when people use and neglect base rate informatio...
[Abstract:] Firefighters, emergency paramedics, and airplane pilots are able to make correct judgmen...
The Bayesian approach to the psychology of reasoning generalizes binary logic, extending the binary ...
What type of probability theory best describes the way humans make judgments under uncertainty and d...
Experts are increasingly being called upon to build decision support systems. Expert intuitions and ...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
AbstractMany works in the past showed that human judgments of uncertainty do not conform very well t...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
According to Aristotle, humans are the rational animal. The borderline between rationality and irrat...
Bayesian cognitive science sees the mind as a spectacular probabilistic inference machine. But Judgm...
AbstractWe take coherence based probability logic as the basic reference theory to model human deduc...
The Bayesian approach to the psychology of reasoning generalizes binary logic, extending the binary ...
A recent development in the cognitive science of reasoning has been the emergence of a probabilistic...
As scientists and as technologists we should discard the idea of a ‘true’ or ‘objective’ probability...
The purpose of this thesis was to better understand when people use and neglect base rate informatio...
[Abstract:] Firefighters, emergency paramedics, and airplane pilots are able to make correct judgmen...
The Bayesian approach to the psychology of reasoning generalizes binary logic, extending the binary ...
What type of probability theory best describes the way humans make judgments under uncertainty and d...
Experts are increasingly being called upon to build decision support systems. Expert intuitions and ...