LEADER 00000cam a2200661Ma 4500 001 ocm70764678 003 OCoLC 005 20160527041521.5 006 m o d 007 cr cn||||||||| 008 990107s1999 ne a ob 001 0 eng d 019 646889571|a665841768|a666942525|a888470852 020 9789027299383|q(electronic book) 020 9027299382|q(electronic book) 020 9781556192029|q(alkaline paper) 020 1556192029|q(alkaline paper) 020 |z1556192029|q(alkaline paper) 020 |z9027223548|q(Eur.) 035 (OCoLC)70764678|z(OCoLC)646889571|z(OCoLC)665841768 |z(OCoLC)666942525|z(OCoLC)888470852 040 INU|beng|epn|cINU|dOCLCQ|dN$T|dIDEBK|dE7B|dEBLCP|dOCLCQ |dMHW|dOCLCQ|dOCLCO|dOCLCF|dCOO|dOCLCQ|dDKDLA|dOCLCQ |dYDXCP|dOCLCQ 049 RIDW 050 4 P37|b.C614 1999eb 072 7 P|2lcco 082 04 401/.9|222 084 17.34|2bcl 090 P37|b.C614 1999eb 100 1 Cooper, D. L.|0https://id.loc.gov/authorities/names/ n81110036 245 10 Linguistic attractors :|bthe cognitive dynamics of language acquisition and change /|cDavid L. Cooper. 264 1 Amsterdam ;|aPhiladelphia, Pa. :|bJ. Benjamins Pub. Co., |c[1999] 264 4 |c©1999 300 1 online resource (xv, 375 pages) :|billustrations. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 490 1 Human cognitive processing ;|vv. 2 504 Includes bibliographical references (329-353) and index. 505 0 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. 520 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. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Psycholinguistics.|0https://id.loc.gov/authorities/ subjects/sh85108432 650 0 Computational linguistics.|0https://id.loc.gov/authorities /subjects/sh85077224 650 0 Linguistic change.|0https://id.loc.gov/authorities/ subjects/sh85077214 650 7 Psycholinguistics.|2fast|0https://id.worldcat.org/fast/ 1081323 650 7 Computational linguistics.|2fast|0https://id.worldcat.org/ fast/871998 650 7 Linguistic change.|2fast|0https://id.worldcat.org/fast/ 999167 655 4 Electronic books. 776 08 |iPrint version:|aCooper, D.L.|tLinguistic attractors. |dAmsterdam ; Philadelphia, Pa. : J. Benjamins Pub. Co., ©1999|w(DLC) 99010761 830 0 Human cognitive processing ;|0https://id.loc.gov/ authorities/names/n98017243|vv. 2. 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=253489|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d20160615|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID