Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapter demonstrates that they are also of much use for philosophers and psychologists interested in (Bayesian) rationality. To do so, we outline the general methodology of Bayes nets modeling in rationality research and illustrate it with several examples from the philosophy and psychology of reasoning and argumentation. Along the way, we discuss the normative foundations of Bayes nets modeling and address some of the methodological problems it raises
According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind b...
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...
Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapt...
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 nets are widely used in artificial intelligence as a calculus for casual reasoning, enablin...
Correct reasoning accords with Bayesian principles is now so widely held in philosophy, psychology, ...
Cada vez son más numerosas las investigaciones que trabajan con un amplio número de variables donde ...
I present a formalism that combines two methodologies: *objective Bayesianism* and *Bayesian nets*. ...
A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and exp...
Bayesian epistemology provides a promising framework for a theory of epistemic rationality. But the ...
Bayesian epistemology provides a promising framework for a theory of epistemic rationality. But the ...
A Bayes net is a statistical tool used to model whatever portion from the reality. In a technical se...
Recent years have seen a Bayesian revolution in cognitive science. This should be of interest to met...
According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind b...
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...
Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapt...
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 nets are widely used in artificial intelligence as a calculus for casual reasoning, enablin...
Correct reasoning accords with Bayesian principles is now so widely held in philosophy, psychology, ...
Cada vez son más numerosas las investigaciones que trabajan con un amplio número de variables donde ...
I present a formalism that combines two methodologies: *objective Bayesianism* and *Bayesian nets*. ...
A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and exp...
Bayesian epistemology provides a promising framework for a theory of epistemic rationality. But the ...
Bayesian epistemology provides a promising framework for a theory of epistemic rationality. But the ...
A Bayes net is a statistical tool used to model whatever portion from the reality. In a technical se...
Recent years have seen a Bayesian revolution in cognitive science. This should be of interest to met...
According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind b...
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...