Bayes’ inference cannot reliably account for uncertainty in mental processes. The reason is that Bayes’ inference is based on the assumption that the order in which the relevant features are evaluated is indifferent, which is not the case in most of mental processes. Instead of Bayes’ rule, a more general, probabilistic rule of inference capable of accounting for these order effects is established. This new rule of inference can be used to improve the current Bayesian models of cognition. Moreover, it (...) should play an essential role in the search for artificial emotional intelligence. (shrink)

A Bell-type strategy of decision for the long-standing question of the nature of psychophysical correlations has been previously presented in a recent article published in Mind and Matter. This strategy of decision is here applied to experimental data on psychophysiological correlations, namely, correlations between cardiovascular and emotional variables that have been reported in several independent publications. This statistical analysis shows that a substantial majority of these correlations cannot be interpreted as an exchange of signals or a mere “interaction”, whatever its (...) form, but that these correlations could a priori be explained classically, as the result of a common preparation during the evolution process. A discussion on the scope and the limitations of this result will then be provided. In particular, alternative explanations of the psychophysical correlations that do not appeal to a notion of signalling will be discussed. (shrink)