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

By:

Cooper, D. L

Material type: Text

TextSeries: Human cognitive processing ; v. 2.Publisher: Amsterdam ; Philadelphia, Pa. : J. Benjamins Pub. Co., [1999]Copyright date: ©1999Description: 1 online resource (xv, 375 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789027299383
9027299382
9781556192029
1556192029

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Linguistic attractors.DDC classification:

401/.9 22

LOC classification:

P37 .C614 1999eb

Other classification:

17.34

Online resources:

Click here to access online

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.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

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

Print version record.

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