Markus Werning

This study explores the relation between pain sensitivity and the cognitive processing of words. 130 participants evaluated the pain-relatedness of a total of 600 two-syllabic nouns, and subsequently reported on their own pain sensitivity. The results demonstrate that pain-sensitive people (based on their self-report) associate words more strongly with pain than less sensitive people. In particular, concrete nouns like syringe, wound, knife, and cactus, are considered to be more pain-related for those who are more pain-sensitive. We discuss our results in the light of three theoretical frameworks – cognitive bias, prototype theory, embodied account. We argue that the latter is best suited to explain the results of this study in the sense in which it implies the principle of body specificity, according to which different bodily characteristics lead to corresponding differences in the way in which people construct concepts and word meanings.

This paper addresses various solutions to Meno's Problem: Why is it that knowledge is more valuable than merely true belief? Given both a pragmatist as well as a veritist understanding of epistemic value, it is argued that a reliabilist analysis of knowledge, in general, promises a hopeful strategy to explain the extra value of knowledge. It is, however, shown that two recent attempts to solve Meno's Problem within reliabilism are severely flawed: Olsson's conditional probability solution and Goldman's value autonomization solution. The paper proceeds with a discussion of the purpose of having a higher value of knowledge as opposed to merely true belief, both in evolutionary and social terms. It claims that under a reliabilist analysis of knowledge it can be explained how knowers could evolve rather than just truthful believers. Subsequently, the paper develops an account of how we can manipulate our testimonial environment in an epistemically beneficial way by valuing reliably produced true belief more that just true belief and so gives an indirect justification of the extra value of knowledge.

The Complex-First Paradox consists in a set of collectively incompatible but individually well-confirmed propositions that regard the evolution, development, and cortical realization of the meanings of concrete nouns. Although these meanings are acquired earlier than those of other word classes, they are semantically more complex and their cortical realizations more widely distributed. For a neurally implemented syntaxsemantics interface, it should thus take more effort to establish a link between a concept and its lexical expression. However, in ontogeny and phylogeny, capabilities demanding more effort, ceteris paribus, develop and evolve later than those demanding less effort. The paradox points to an explanatory deficit in linguistic theory.

We defend a realistic attitude towards biological species. We argue that two species are not different species because they differ in intrinsic features, be they phenotypic or genomic, but because they are separated with regard to gene flow. There are no intrinsic species essences. However, there are relational ones. We argue that bearing a gene flow relation to conspecifics may serve as the essence of a species. Our view of the species as a Gene-Flow Community differs from Mayr’s definition of the species as a reproductive community. In a reproductive community, each organism is able to successfully reproduce with each other. However, there are species in which geographically distant organisms lost their ability to successfully reproduce, due to strong genetic adaptations to the respective local environmental conditions. Despite this loss of the ability to mutually reproduce, they are still bound by gene flow via continuous intermediate populations. This replacement of Mayr’s notion of an interbreeding potential as a criterion for species membership has important implications for the treatment of populations in allopatry and sympatry.

This article proposes a neurobiologically motivated theory of meaning as internal representation that holds on to the principle of compositionality, but negates the principle of semantic constituency. The approach builds on neurobiological findings regarding topologically structured cortical feature maps and the mechanism of object-related binding by neuronal synchronization. It incorporates the Gestalt principles of psychology and is implemented by recurrent neural networks. The semantics to be developed is structurally analogous to some variant of model-theoretical semantics. The semantics to be developed is a neuro-emulative model-theoretical semantics of a first-order language. The model-theoretical semantics is merely denotational and does not imply anything about the structures of the mind or the underlying neural mechanisms that enable producing and comprehend meaningful expressions. The relation between a mental representation and its content is some form of causal-informational covariation.