whereas assertive learning uses a binary mechanism (e.g. Is a hypothesis compatible with the data or not?)
Not necessarily—in Bayesian reasoning you can reduce the probability of a hypothesis in response to it being inconsistent with some data, without reducing it to zero. Binary disconfimration can be seen as a special case of probablistic disconfirmation … just as bivalent logic can be seen as a special case of probablistic logic.
Not necessarily—in Bayesian reasoning you can reduce the probability of a hypothesis in response to it being inconsistent with some data, without reducing it to zero. Binary disconfimration can be seen as a special case of probablistic disconfirmation … just as bivalent logic can be seen as a special case of probablistic logic.