Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Normal view MARC view ISBD view

Linguistic attractors [electronic resource] : the cognitive dynamics of language acquisition and change / David L. Cooper.

By: Cooper, D. L.
Material type: TextTextSeries: Human cognitive processing: v. 2.Publisher: Amsterdam ; Philadelphia, Pa. : J. Benjamins Pub. Co., c1999Description: 1 online resource (xv, 375 p.) : ill.ISBN: 9789027299383 (electronic bk.); 9027299382 (electronic bk.).Subject(s): Psycholinguistics | Computational linguistics | Linguistic change | Ling�u�istica | Cambio ling�u�istico | Psycholinguistique | Linguistique informatique | Changement linguistique | Taalverandering | Kognitive Linguistik | Spracherwerb | SprachwandelGenre/Form: Electronic books.Additional physical formats: Print version:: Linguistic attractors.DDC classification: 401/.9 Other classification: 17.34 Online resources: EBSCOhost
Contents:
Linguistic Attractors; Editorial page; Title page; LCC data; Table of contents; Preface; Introduction. Abstractions, Universals, Systems, and Attractors; Chapter 1. Human Architecture: Physical Constraints and Special Accommodations; Chapter 2. Possible Neural Network Implementations: General Network Properties and Requirements for Computation; Chapter 3. Representations; Chapter 4. Attractor Dynamics on Semantic Fields; Chapter 5. Toward an Attractor Grammar; Chapter 6. The Dynamics of Language Change: Beowulf, the Tatian, and German Biblical Texts; References; Index.
Summary: The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificial neural network approaches. It uses general computation theory to: (1) demonstrate the capacity of Cantor-like fractal sets to perform as Turing Machines; (2) better distinguish between models that simply match outputs (emulation) and models that match both outputs and internal dynamics (simulation.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Includes bibliographical references ([329]-353) and index.

Linguistic Attractors; Editorial page; Title page; LCC data; Table of contents; Preface; Introduction. Abstractions, Universals, Systems, and Attractors; Chapter 1. Human Architecture: Physical Constraints and Special Accommodations; Chapter 2. Possible Neural Network Implementations: General Network Properties and Requirements for Computation; Chapter 3. Representations; Chapter 4. Attractor Dynamics on Semantic Fields; Chapter 5. Toward an Attractor Grammar; Chapter 6. The Dynamics of Language Change: Beowulf, the Tatian, and German Biblical Texts; References; Index.

The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificial neural network approaches. It uses general computation theory to: (1) demonstrate the capacity of Cantor-like fractal sets to perform as Turing Machines; (2) better distinguish between models that simply match outputs (emulation) and models that match both outputs and internal dynamics (simulation.

Description based on print version record.

There are no comments for this item.

Log in to your account to post a comment.

Other editions of this work

Linguistic attractors by Cooper, D. L. ©1999
Linguistic attractors by Cooper, D. L. ©1999
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter