Linguistic Attractors

The cognitive dynamics of language acquisition and change

David L. Cooper | Fairfax, Virginia
ISBN 9789027223548 (Eur) | EUR 120.00
ISBN 9781556192029 (USA) | USD 180.00
ISBN 9789027299383 | EUR 120.00 | USD 180.00
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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); and (3) relate language processing to essential computation steps executed in parallel. Measure and information theory highlight the key variables driving linguistic dynamics, while catastrophe and game theory help predict the possible topologies of language change.

It introduces techniques to isolate and measure attractors, and to interpret their stability and relative content within a system. Important results include the capability to distinguish the sequence of related sound changes, and to make point-to-point comparisons of different texts using common metrics. Other techniques allow quantifiable ambiguity landscapes illustrating the forces that propel different languages in different directions.

[Human Cognitive Processing, 2] 1999.  xv, 375 pp.
Publishing status: Available
Table of Contents
Cited by

Cited by 22 other publications

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This list is based on CrossRef data as of 16 april 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.


Main BIC Subject

CF: Linguistics

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
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U.S. Library of Congress Control Number:  99010761 | Marc record