A great number of investigations suggest that cognition involves both linguistic and cartographic representations. These researches have motivated a pluralist conception of cognition; also, they have been used to clarify how maps differ from linguistic representations. However, the computational processes underlying the interphase between both kinds of representations deserve further attention. In this paper, I argue that, despite their differences, cartographic representations coexist and interact with linguistic representations in interesting ways.

Jerry Fodor has claimed to have a solution to the traditional problem of what comes first, thought or language. Compositionality, he says, will give us the answer, for at least one must be compositional, and if only one of them is, that is the one that has underived semantic content. He argues that natural languages are not compositional, and therefore that the content of language is derived from the content of thought. I will argue that the idea that language is (...) not compositional conflicts with his productivity and systematicity arguments for the existence of a language of thought. I will also show that Fodor’s solution to the problem fails, as his main argument is circular. Finally, I suggest that Fodor’s argument against the compositionality of language is not decisive, and that we can still attribute at least some degree of compositionality to language. (shrink)

Mind &Language, Volume 35, Issue 1, Page 90-114, February 2020.

According to some views, natural language suffers from underdeterminacy, but thought doesn’t. According to the underdeterminacy claim, sentence types underdetermine the truth-conditions of sentence tokens. In particular, the semantics of a predicate type seems to underdetermine the satisfaction conditions of its tokens. By contrast, mental representation-types are supposed to determine the truth-conditions of its tokens. In this paper I critically examine these mixed views. First, I argue that the arguments supporting the indispensability of including in one’s theory mental representations that (...) are free of the underdeterminacy exhibited by natural language are not sound. As a result, the possibility that mental representation-types are as underdetermined as natural language sentence-types has not been ruled out. Second, I argue that Carston’s ad hoc concept-types are as underdetermined as word-types. I finish by arguing that mental representations are also underdetermined in a second sense—mental representation-tokens only determine a partial function from possible worlds to truth-values. (shrink)

Since its introduction by Evans , the generality constraint has been invoked by various philosophers for different purposes. Our purpose here is, first, to clarify what precisely the GC states by way of an interpretive framework, the GC Schema, and second, to demonstrate in terms of this framework some problems that arise if one invokes the GC without clearly specifying an appropriate interpretation. By utilizing the GC Schema these sorts of problems can be avoided, and we thus propose it as (...) a tool to facilitate argumentation that appeals to the GC. (shrink)

Each of our theories of mental representation provides some insight into how the mind works. However, these insights often seem incompatible, as the debates between symbolic, dynamical, emergentist, sub-symbolic, and grounded approaches to cognition attest. Mental representations—whatever they are—must share many features with each of our theories of representation, and yet there are few hypotheses about how a synthesis could be possible. Here, I develop a theory of the underpinnings of symbolic cognition that shows how sub-symbolic dynamics may give rise (...) to higher-level cognitive representations of structures, systems of knowledge, and algorithmic processes. This theory implements a version of conceptual role semantics by positing an internal universal representation language in which learners may create mental models to capture dynamics they observe in the world. The theory formalizes one account of how truly novel conceptual content may arise, allowing us to explain how even elementary logical and computational operations may be learned from a more primitive basis. I provide an implementation that learns to represent a variety of structures, including logic, number, kinship trees, regular languages, context-free languages, domains of theories like magnetism, dominance hierarchies, list structures, quantification, and computational primitives like repetition, reversal, and recursion. This account is based on simple discrete dynamical processes that could be implemented in a variety of different physical or biological systems. In particular, I describe how the required dynamics can be directly implemented in a connectionist framework. The resulting theory provides an “assembly language” for cognition, where high-level theories of symbolic computation can be implemented in simple dynamics that themselves could be encoded in biologically plausible systems. (shrink)

Ordinary use of empty names encompasses a variety of different phenomena, including issues in semantics, mental content, fiction, pretense, and linguistic practice. In this paper I offer a novel account of empty names, the cognitive theory, and show how it offers a satisfactory account of the phenomena. The virtues of this theory are based on its strength and parsimony. It allows for a fully homogeneous semantic treatment of names coped with ontological frugality and empirical and psychological adequacy.

I can make no sense of a true, literal application of the notion of proper (nontemporal) components or parts to things that occupy no space. Others apparently can, and some construct elaborate theories of propositional structure… Perhaps I am blind to a possibility that other, cognitively better endowed philosophers see. From my unseeing perspective, though, it is more likely that the appearance of sight deceives.

En este trabajo intentaré mostrar que el lenguaje es composicional desde la perspectiva del programa minimalista. Desde este enfoque adoptaré la noción de “lengua-I”. Específicamente, intentaré sostener que, si el minimalismo es correcto, el producto de la lengua-I es composicional en virtud de restricciones generales de arquitectura cognitiva y restricciones intrínsecas al mecanismo computacional de la lengua-I. Mi argumento puede entenderse como una inferencia a la mejor explicación. La mejor explicación de que la lengua-I, en tanto sistema de expresiones que (...) sirven de instrucciones semánticas para la interfaz conceptual-intencional, genere computacionalmente esas instrucciones y responda óptimamente a las condiciones de interfaz es, en parte, atribuyéndole composicionalidad semántica a dichas expresiones. (shrink)