Associative theories of cognitive representation begin with an ontology of two kinds of entities: concepts and associations. According to most social cognitive theories of attitudes, attitudes are object-evaluation associations of varying strength, where strength is defined in terms of accessibility. This paper proposes a cognitive account of belief such that beliefs are object-attribute associations of varying strength: thus, insofar as evaluative concepts are examples of attribute concepts, attitudes are a species of belief. This cognitive account of belief also denies that (...) additional processes of endorsement—explicit or otherwise—are strictly required for an object-attribute association to count as a belief. (shrink)

In this article, we argue for the general importance of normative theories of argument strength. We also provide some evidence based on our recent work on the fallacies as to why Bayesian probability might, in fact, be able to supply such an account. In the remainder of the article we discuss the general characteristics that make a specifically Bayesian approach desirable, and critically evaluate putative flaws of Bayesian probability that have been raised in the argumentation literature.

Norms—that is, specifications of what we ought to do—play a critical role in the study of informal argumentation, as they do in studies of judgment, decision-making and reasoning more generally. Specifically, they guide a recurring theme: are people rational? Though rules and standards have been central to the study of reasoning, and behavior more generally, there has been little discussion within psychology about why (or indeed if) they should be considered normative despite the considerable philosophical literature that bears on this (...) topic. In the current paper, we ask what makes something a norm, with consideration both of norms in general and a specific example: norms for informal argumentation. We conclude that it is both possible and desirable to invoke norms for rational argument, and that a Bayesian approach provides solid normative principles with which to do so. (shrink)