Conceptual features differ in how mentally tranformable they are. A robin that does not eat is harder to imagine than a robin that does not chirp. We argue that features are immutable to the extent that they are central in a network of dependency relations. The immutability of a feature reflects how much the internal structure of a concept depends on that feature; i.e., how much the feature contributes to the concept's coherence. Complementarily, mutability reflects the aspects in which a (...) concept is flexible. We show that features can be reliably ordered according to their mutability using tasks that require people to conceive of objects missing a feature, and that mutability (conceptual centrality) can be distinguished from category centrality and from diagnosticity and salience. We test a model of mutability based on asymmetric, unlabeled, pairwise dependency relations. With no free parameters, the model provides reasonable fits to data. Qualitative tests of the model show that mutability judgments are unaffected by the type of dependency relation and that dependency structure influences judgments of variability. (shrink)

The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...) or extinction but should not be modulated by rational argumentation or logical interventions. This hypothesis is false; implicit biases are not predicated on any associative structures or associative processes but instead arise because of unconscious propositionally structured beliefs. I conclude by discussing how the case study of implicit bias illuminates problems with popular dual-process models of cognitive architecture. (shrink)

Should we understand implicit attitudes on the model of belief? I argue that implicit attitudes are (probably) members of a different psychological kind altogether, because they seem to be insensitive to the logical form of an agent’s thoughts and perceptions. A state is sensitive to logical form only if it is sensitive to the logical constituents of the content of other states (e.g., operators like negation and conditional). I explain sensitivity to logical form and argue that it is a necessary (...) condition for belief. I appeal to two areas of research that seem to show that implicit attitudes fail spectacularly to satisfy this condition—although persistent gaps in the empirical literature leave matters inconclusive. I sketch an alternative account, according to which implicit attitudes are sensitive merely to spatiotemporal relations in thought and perception, i.e., the spatial and temporal orders in which people think, see, or hear things. (shrink)

Implicit attitudes are mental states that appear sometimes to cause agents to act in ways that conflict with their considered beliefs. Implicit attitudes are usually held to be mere associations between representations. Recently, however, some philosophers have suggested that they are, or are very like, ordinary beliefs: they are apt to feature in properly inferential processing. This claim is important, in part because there is good reason to think that the vocabulary in which we make moral assessments of ourselves and (...) of others is keyed to folk psychological concepts, like ‘belief’, and not to concepts that feature only in scientific psychology: if implicit attitudes are beliefs there is a prima facie case for thinking that they can serve as the basis for particular kinds of moral assessment. In this paper I argue that while implicit attitudes have propositional structure, their sensitivity and responsiveness to other mental representations is too patchy and fragmented for them to properly be considered beliefs. Instead, they are a sui generis kind of mental state, a state I dub patchy endorsements. (shrink)

Five experiments provide evidence for a class of ‘dual character concepts.’ Dual character concepts characterize their members in terms of both (a) a set of concrete features and (b) the abstract values that these features serve to realize. As such, these concepts provide two bases for evaluating category members and two different criteria for category membership. Experiment 1 provides support for the notion that dual character concepts have two bases for evaluation. Experiments 2-4 explore the claim that dual character concepts (...) have two different criteria for category membership. The results show that when an object possesses the appropriate concrete features, but does not fulfill the appropriate abstract value, it is judged to be a category member in one sense but not in another. Finally, Experiment 5 uses the theory developed here to construct artificial dual character concepts and examines whether participants react to these artificial concepts in the same way as naturally occurring dual character concepts. The present studies serve to define the nature of dual character concepts and distinguish them from other types of concepts (e.g., natural kind concepts), which share some, but not all of the properties of dual character concepts. More broadly, these phenomena suggest a normative dimension in everyday conceptual representation. (shrink)

Although recent work has emphasised the importance of naïve theories to categorisation, there has been little work examining the grain of analysis at which causal information normally influences categorisation. That level of analysis may often go unappreciated because of an “illusion of explanatory depth”, in which people think they mentally represent causal explanatory relations in far more detail than they really do. Naïve theories therefore might seem to be irrelevant to categorisation, or perhaps they only involve noting the presence of (...) unknown essences. I argue instead that adults and children alike effectively track high-level causal patterns, often outside awareness, and that this ability is essential to categorisation. Three examples of such pattern-tracking are described. The shallowness of our explanatory understandings may be further supported by a reliance on the division of cognitive labour that occurs in all cultures, a reliance that arises from well-developed abilities to cluster knowledge in the minds of others. (shrink)

If someone says, “Asians are good at math” or “women are empathetic,” I might interject, “you're stereotyping” in order to convey my disapproval of their utterance. But why is stereotyping wrong? Before we can answer this question, we must better understand what stereotypes are and what stereotyping is. In this essay, I develop what I call the descriptive view of stereotypes and stereotyping. This view is assumed in much of the psychological and philosophical literature on implicit bias and stereotyping, yet (...) it has not been sufficiently defended. The main objection to the descriptive view is that it fails to include the common-sense idea that stereotyping is always objectionable. I argue that this is actually a benefit of the view. In the essay's final part, I put forward two hypotheses that would validate the claim that stereotyping is always morally or epistemically wrong. If these hypotheses are false—which is very likely—we have little reason to build moral or epistemic defect into the very idea of a stereotype. Moreover, we must abandon the seemingly attractive claim that judging individuals based on group membership is intrinsically wrong. (shrink)

An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect + pleasant) share a key. This performance difference implicitly measures differential association (...) of the 2 concepts with the attribute. In 3 experiments, the IAT was sensitive to (a) near-universal evaluative differences (e.g., flower vs. insect), (b) expected individual differences in evaluative associations (Japanese + pleasant vs. Korean + pleasant for Japanese vs. Korean subjects), and (c) consciously disavowed evaluative differences (Black + pleasant vs. White + pleasant for self-described unprejudiced White subjects). (PsycINFO Database Record (c) 2016 APA, all rights reserved). (shrink)