Recursion: Complexity in Cognition, 2014
Studies in Theoretical Psycholinguistics Series, Vol. 43

Coordinators: Roeper Tom, Speas Margaret

Language: English

105.49 €

In Print (Delivery period: 15 days).

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Recursion: Complexity in Cognition
Publication date:
271 p. · 15.5x23.5 cm · Paperback

105.49 €

In Print (Delivery period: 15 days).

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Recursion: Complexity in Cognition
Publication date:
271 p. · 15.5x23.5 cm · Hardback
This volume focuses on recursion and reveals a host of new theoretical arguments, philosophical perspectives, formal representations and empirical evidence from parsing, acquisition and computer models, highlighting its central role in modern science. Noam Chomsky, whose work introduced recursion to linguistics and cognitive science and other leading researchers in the fields of philosophy, semantics, computer science and psycholinguistics in showing the profound reach of this concept into modern science. Recursion has been at the heart of generative grammar from the outset. Recent work in minimalism has put it at center-stage with a wide range of consequences across the intellectual landscape. The contributor to this volume both advance the field and provide a cross-sectional view of the place that recursion takes in modern science.

Introduction.- Minimal Recursion: Exploring the Prospects.- Recursion Restrictions: Where Grammars Count.- Deriving the Two-argument Restriction without Recursion.- Embedding Illocutionary Acts.- Recursion, Legibility, Use.- Recursion and Truth.- Recursion in Language: Is it Indirectly constrained?.- Recursion in Grammar and Performance.- Empirical Results and Formal Approaches to Recursion in Acquisition.- Recursive Complements and Propositional Attitudes.- Recursive Merge and Human Language Evolution.

Original contributions by a stellar group of authors including Noam Chomsky Perspectives on the core property of human language from computer science, philosophy, psycholinguistics, evolutionary biology, semantics and syntax Empirical evidence applied to language variation, experimentation and parsing models