The heyday of discussions initiated by Searle's claim that computers have syntax, but no semantics has now past, yet philosophers and scientists still tend to frame their views on artificial intelligence in terms of syntax and semantics. In this paper I do not intend to take part in these discussions; my aim is more fundamental, viz. to ask what claims about syntax and semantics in this context can mean in the first place. And I argue that their sense is so (...) unclear that that their ability to act as markers within any disputes on artificial intelligence is severely compromised; and hence that their employment brings us nothing more than an illusion of explanation. (shrink)

The aim of this paper is to establish a specific view of linguistic understanding based on the framework of normative inferentialism. Normative inferentialism is presented as an overspecification (rich) account of meaning—the meaning of a sentence is understood as a cluster of context‐dependent contents. The standard psychological mechanism responsible for reaching understanding of an utterance depends on the ability to eliminate contextually irrelevant aspects/parts of meaning. The advantages of the view are that the mechanism can (a) explain a wide range (...) of linguistic phenomena including polysemy, homonymy, and conversational implicatures, and (b) explain partial understanding of an utterance. (shrink)

In this paper I present how the normative inferentialist can make the distinction between sentence meaning and content of the utterance. The inferentialist can understand sentence meaning as a role conferred to that sentence by the rules governing inferential transitions and content of the utterance as just a part of sentence meaning. I attempt to show how such a framework can account for prominent scenarios presented by contextualists as a challenge to semantic minimalism/literalism. I argue that inferentialism can address contextualist (...) challenges in a simple and effective manner by understanding sentence meaning as broad, but invariant. (shrink)

What is the source of logical and mathematical truth? This book revitalizes conventionalism as an answer to this question. Conventionalism takes logical and mathematical truth to have their source in linguistic conventions. This was an extremely popular view in the early 20th century, but it was never worked out in detail and is now almost universally rejected in mainstream philosophical circles. Shadows of Syntax is the first book-length treatment and defense of a combined conventionalist theory of logic and mathematics. It (...) argues that our conventions, in the form of syntactic rules of language use, are perfectly suited to explain the truth, necessity, and a priority of logical and mathematical claims, as well as our logical and mathematical knowledge. (shrink)

In this paper, I show how normative inferentialism could be used to explain several phenomena related to natural languages. First, I show how the distinction between the inferential potential and the inferential significance fits the standard distinction between the meaning of a sentence and the content of an utterance. Second, I show how the distinction could be used to explain ambiguity and free pragmatic enrichment from the perspective of normative inferentialism. The aim of this paper is to establish theoretical foundations (...) that enable normative inferentialism to enter the discussions within the literalism-contextualism debate. As I argue, the biggest advantage of inferentialism is that it provides one general framework for the representation of meaning/content that naturally incorporates contextual information and so it can be used to represent meanings of various types of context-dependent sentences. (shrink)