A Sample Material of my Book LANGUAGE, MIND AND COMPUTATION
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Abstract
This book investigates the connection between language, mind and computation in theoretical linguistics in particular and cognitive science in general. The relationship between grammar, mind and computation which buttresses much of mainstream linguistic theory is rarely questioned but forms the basis of many theoretical developments and empirical advances. Language, Mind and Computation challenges and critiques the basis of this relationship, attempting to demonstrate that natural language grammars cannot be both mental and computational if the nature of interpretation is unaccounted for. This ambitious book will be of interest to theoretical linguists, philosophers of language, psycholinguists and even computer scientists. Reviews: 'This book sheds a new light on the relationship between language, mind and computation as conceived of in current linguistic theory.' Marcelo Dascal, Tel Aviv University, Israel
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We examine the proposal that thinking is a combinatorial operation on mental representations, and argue that it cannot be. If the argument is successful it shows that cognitive science cannot explain intelligent linguistic behavior by explaining what thinking is. We point out that this does not impugn the practice of cognitive scientists interested in human language, which, properly understood, consists in the framing and testing of hypotheses about the causally necessary enabling conditions of intelligent linguistic behavior.
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It is proposed to examine, in brief, the relationship between linguistics and cognition. With Chomsky's mentalist approach linguistics became a study of cognition, and a member of the cognitive sciences. The field of cognitive linguistics has arisen in part to formalize this relationship between linguistics and cognition. It represents a revolt against some of the established norms of linguistics, as practiced around the last two or three decades of the twentieth century, and also a logical culmination represented as adoption and application of the thinking prevalent in the cognitive sciences to the study of language. Cognitive linguistics is a relatively new filed, but it has dedicated adherents and an expanding base. The concerns emergent of the association between linguistics and cognition are worthwhile of pursuit by a wide range of cognitive scientists. A review of the perspectives on linguistics and cognition is presented here.
The computational program for theoretical neuroscience initiated by calls for a study of biological information processing on several distinct levels of abstraction. At each of these levels -computational (defining the problems and considering possible solutions), algorithmic (specifying the sequence of operations leading to a solution) and implementational -significant progress has been made in the understanding of cognition. In the past three decades, computational principles have been discovered that are common to a wide range of functions in perception (vision, hearing, olfaction) and action (motor control). More recently, these principles have been applied to the analysis of cognitive tasks that require dealing with structured information, such as visual scene understanding and analogical reasoning. Insofar as language relies on cognition-general principles and mechanisms, it should be possible to capitalize on the recent advances in the computational study of cognition by extending its methods to linguistics.
Online publication, 2015
A sceptical review of the cognitive sciences and of computational linguistics, with a view to a critique of computationalism for its ill-fated reduction to the empirical in an approach to a philosophy of mind. By juxtaposing empirical with non-empirical approaches to the subject, with particular reference to those of Locke and Kant, it is argued that computationalism's arbitrary reduction to the empirical is one chiefly determined by instrumental technological ambitions that predispose its adherents to a mechanistic understanding of mind, and to a linear, functionalist understanding of natural language. That characteristic approach proceeds by eliminating reasonable reflection towards the rudiments of intuition and metaphysics, both with respect to the dominance of the former in the hierarchy of the structure of thought, as well as to the precession of each in the epistemology of the empirical sciences themselves.
Scientific theories are more than purely formal constructs, but linguistic artefacts that often rely on the rhetorical qualities of language to give their claims additional resonance and argumentative force. This reliance of theory upon language is even greater in those theoretical domains whose main concern is language itself, leading to a sometimes convenient blurring of content and form. Though Cognitive Linguistics has consistently revealed metaphor to be a fundamental building block in the development of complex conceptualizations, Cognitive Linguistic theories often exploit metaphor as an allusive place-holder when more formal clarity is demanded. Nonetheless, in this paper we argue that one such metaphor -the MIND-AS-COMPUTER metaphor that underlies the enterprises of Artificial Intelligence and Cognitive Science -can yield precisely the kind of formal clarity that is required by the most suggestive or radical of theories in Cognitive Linguistics. An exploration of how this metaphor informs the computational realization of cognitive theories will allow us to illuminate the often wide gap that exists between the descriptive suggestiveness of a linguistic theory and its actual computational sufficiency.

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