The new paradigm in the psychology of reasoning draws on Bayesian formal frameworks, and some advocates of the new paradigm think of these formal frameworks as providing a computational-level theory of rational human inference. I argue that Bayesian theories should not be seen as providing a computational-level theory of rational human inference, where by “Bayesian theories” I mean theories that claim that all rational credal states are probabilistically coherent and that rational adjustments of degrees of belief in the light of (...) new evidence must be in accordance with some sort of conditionalization. The problems with the view I am criticizing can best be seen when we look at chains of inferences, rather than single-step inferences. Chains of inferences have been neglected almost entirely within the new paradigm. (shrink)

No present theory explains the inferences people draw about the real world when reasoning about “bouletic” relations, that is, predicates that express desires, such aswantin “Lee wants to be in love”. Linguistic accounts ofwantdefine it in terms of a relation to a desirer's beliefs, and how its complement is deemed desirable. In contrast, we describe a new model‐based theory that posits that by default, desire predicates such aswantcontrast desires against facts. In particular,A wants Pimplies by default thatPis not the case, (...) because you cannot want what is already true. On further deliberation, reasoners may infer thatA believes, but does not know for certain, thatPis not the case. The theory makes several empirical predictions about how people interpret, assess the consistency of, and draw conclusions from desire predicates likewant. Seven experiments tested and validated the theory's central predictions. We assess the theory in light of recent proposals of desire predicates. (shrink)

Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a novel model-based theory of such reasoning. The theory depends on 5 principles. The structure of mental models is iconic as far as possible. The logical consequences of relations emerge from models constructed from the meanings of the relations and from knowledge. Individuals tend to construct only a single, typical model. They spontaneously develop their own strategies for relational reasoning. Regardless of strategy, the difficulty of an inference depends (...) on the process of integration of the information from separate premises, the number of entities that have to be integrated to form a model, and the depth of the relation. The article describes computer implementations of the theory and presents experimental results corroborating its main principle. (shrink)