This paper pioneers the use of methods and findings from psycholinguistics in experimental philosophy’s ‘sources project’. On this basis, it clarifies the epistemological relevance of empirical findings about intuitions – a key methodological challenge to experimental philosophy. The sources project (aka ‘cognitive epistemology of intuitions’) seeks to develop psychological explanations of philosophically relevant intuitions, which help us assess their evidentiary value. One approach seeks explanations which trace relevant intuitions back to automatic cognitive processes that are generally reliable but predictably generate (...) cognitive illusions under specific vitiating circumstances. The paper develops and experimentally tests such an explanation for intuitions at the root of a historically influential paradox about perception (‘argument from illusion’). The explanation traces these intuitions to stereotype-driven amplification, an automatic process routinely involved in language comprehension (e.g., understanding philosophical case-descriptions). Distributional semantics analysis and a forced-choice plausibility ranking task are employed to establish the relevant verb-associated stereotypes. The paper argues that the inferences facilitated by these stereotypes are generally reliable, but shows that vitiating circumstances obtain in the formulation of the targeted paradox. On this basis, the paper explores two complementary strategies for assessing the evidentiary value of intuitive judgments. (shrink)

Philosophers are often credited with particularly well-developed conceptual skills. The ‘expertise objection’ to experimental philosophy builds on this assumption to challenge inferences from findings about laypeople to conclusions about philosophers. We draw on psycholinguistics to develop and assess this objection. We examine whether philosophers are less or differently susceptible than laypersons to cognitive biases that affect how people understand verbal case descriptions and judge the cases described. We examine two possible sources of difference: Philosophers could be better at deploying concepts, (...) and this could make them less susceptible to comprehension biases (‘linguistic expertise objection’). Alternatively, exposure to different patterns of linguistic usage could render philosophers vulnerable to a fundamental comprehension bias, the linguistic salience bias, at different points (‘linguistic usage objection’). Together, these objections mount a novel ‘master argument’ against experimental philosophy. To develop and empirically assess this argument, we employ corpus analysis and distributional semantic analysis and elicit plausibility ratings from academic philosophers and psychology undergraduates. Our findings suggest philosophers are better at deploying concepts than laypeople but are susceptible to the linguistic salience bias to a similar extent and at similar points. We identify methodological consequences for experimental philosophy and for philosophical thought experiments. (shrink)

Empirical insights into language processing have a philosophical relevance that extends well beyond philosophical questions about language. This chapter will discuss this wider relevance: We will consider how experimental philosophers can examine language processing in order to address questions in several different areas of philosophy. To do so, we will present the emerging research program of experimental argument analysis (EAA) that examines how automatic language processing shapes verbal reasoning – including philosophical arguments. The evidential strand of experimental philosophy uses mainly (...) questionnaire-based methods to assess the evidentiary value of intuitive judgments that are adduced as evidence for philosophical theories and as premises for philosophical arguments. Extending this prominent strand of experimental philosophy, EAA underpins such assessments, extends the scope of the assessments, and expands the range of the empirical methods employed: EAA examines how automatic inferences that are continually made in language comprehension and production shape verbal reasoning, and draws on findings about comprehension biases that affect the contextualisation of such default inferences, in order to explain and expose fallacies. It deploys findings to assess premises and inferences from premises to conclusions, in philosophical arguments. To do so, it adapts methods from psycholinguistics and recruits methods from computational linguistics. (shrink)

It has been shown that Recurrent Artificial Neural Networks automatically acquire some grammatical knowledge in the course of performing linguistic prediction tasks. The extent to which such networks can actually learn grammar is still an object of investigation. However, being mostly data-driven, they provide a natural testbed for usage-based theories of language acquisition. This mini-review gives an overview of the state of the field, focusing on the influence of the theoretical framework in the interpretation of results.