An evidence accumulation model of forced-choice decision making is proposed to unify the fast and frugal take the best (TTB) model and the alternative rational (RAT) model with which it is usually contrasted. The basic idea is to treat the TTB model as a sequential-sampling process that terminates as soon as any evidence in favor of a decision is found and the rational approach as a sequential-sampling process that terminates only when all available information has been assessed. The unified TTB and RAT models were tested in an experiment in which participants learned to make correct judgments for a set of real-world stimuli on the basis of feedback, and were then asked to make additional judgments without feedback for cases in which the TT...
Rational behavior in decision making. A comparison between humans, computers, and fast and frugal st...
A model of a decision problem frames that problem in three dimensions: sample space, target probabil...
People often face preferential decisions under risk. To further our understanding of the cognitive p...
An evidence accumulation model of forced-choice decision making is proposed to unify the fast and fr...
Analyses of multi-attribute decision problems are dominated by accounts which assume people select f...
An experiment examined two aspects of performance in a multi-attribute inference task: i) the effect...
The dominant theoretical paradigm in explaining decision making throughout both neuroscience and cog...
Evidence accumulation models (EAMs) have been the dominant models of speeded decision-making for sev...
Evidence accumulation models (EAMs) have been the dominant models of speeded decision-making for sev...
To make the best decisions, organisms must flexibly accumulate information, accounting for what is r...
The dominant theoretical framework for decision making asserts that people make decisions by integra...
Decision strategies explain how people integrate multiple sources of information to make probabilist...
The dominant theoretical framework for decision-making asserts that people make decisions by integra...
Making a good decision often takes time, and in general, taking more time improves the chances of ma...
Decision-making is a dynamic process that begins with the accumulation of evidence and ends with the...
Rational behavior in decision making. A comparison between humans, computers, and fast and frugal st...
A model of a decision problem frames that problem in three dimensions: sample space, target probabil...
People often face preferential decisions under risk. To further our understanding of the cognitive p...
An evidence accumulation model of forced-choice decision making is proposed to unify the fast and fr...
Analyses of multi-attribute decision problems are dominated by accounts which assume people select f...
An experiment examined two aspects of performance in a multi-attribute inference task: i) the effect...
The dominant theoretical paradigm in explaining decision making throughout both neuroscience and cog...
Evidence accumulation models (EAMs) have been the dominant models of speeded decision-making for sev...
Evidence accumulation models (EAMs) have been the dominant models of speeded decision-making for sev...
To make the best decisions, organisms must flexibly accumulate information, accounting for what is r...
The dominant theoretical framework for decision making asserts that people make decisions by integra...
Decision strategies explain how people integrate multiple sources of information to make probabilist...
The dominant theoretical framework for decision-making asserts that people make decisions by integra...
Making a good decision often takes time, and in general, taking more time improves the chances of ma...
Decision-making is a dynamic process that begins with the accumulation of evidence and ends with the...
Rational behavior in decision making. A comparison between humans, computers, and fast and frugal st...
A model of a decision problem frames that problem in three dimensions: sample space, target probabil...
People often face preferential decisions under risk. To further our understanding of the cognitive p...