Add to ORKGic mo otiv is wo on of the importance of mechanistic explanation, but the specific critiques of our work are not lien c ng ba s indi individual units of the system (the implementational level). Each of these levels of representation contributes to the ater et al., 2006; grown t ave also at els imply a claim that the mind itself is rational or eve
A large body of research in cognitive psychology and neuroscience draws on Bayesian statistics to mo...
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
In advocating Bayesian Enlightenment as a solution to Bayesian Fundamentalism, Jones and Love rule o...
Abstract: The prominence of Bayesian modeling of cognition has increased recently largely because of...
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue t...
A series of high-profile critiques of Bayesian models of cognition have recently sparked controversy...
According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind b...
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue t...
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully unde...
Recent debates in the psychological literature have raised questions about the assumptions that unde...
This article explores some of the philosophical implications of the Bayesian modeling paradigm. In p...
In response to the proposal that cognitive phenomena might be best understood in terms of cognitive ...
Recent debates in the psychological literature have raised questions about what assumptions underpin...
There has been a recent explosion in research applying Bayesian models to cognitive phenomena. This ...
Introduction: The need for hierarchical models Those of us who study human cognition have no easy ta...
A large body of research in cognitive psychology and neuroscience draws on Bayesian statistics to mo...
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
In advocating Bayesian Enlightenment as a solution to Bayesian Fundamentalism, Jones and Love rule o...
Abstract: The prominence of Bayesian modeling of cognition has increased recently largely because of...
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue t...
A series of high-profile critiques of Bayesian models of cognition have recently sparked controversy...
According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind b...
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue t...
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully unde...
Recent debates in the psychological literature have raised questions about the assumptions that unde...
This article explores some of the philosophical implications of the Bayesian modeling paradigm. In p...
In response to the proposal that cognitive phenomena might be best understood in terms of cognitive ...
Recent debates in the psychological literature have raised questions about what assumptions underpin...
There has been a recent explosion in research applying Bayesian models to cognitive phenomena. This ...
Introduction: The need for hierarchical models Those of us who study human cognition have no easy ta...
A large body of research in cognitive psychology and neuroscience draws on Bayesian statistics to mo...
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
In advocating Bayesian Enlightenment as a solution to Bayesian Fundamentalism, Jones and Love rule o...