Holdings: The harmonic mind :: THWS Bibkatalog

The harmonic mind: from neural computation to optimality-theoretic grammar 1 Cognitive architecture

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Bibliographic Details
Main Authors:	Smolensky, Paul (Author), Legendre, Géraldine (Author)
Format:	Book
Language:	English
Published:	Cambridge, MA MIT Press 2006
Series:	Bradford Books
Online Access:	Inhaltsverzeichnis
Physical Description:	XXIV, 563 S. Ill.
ISBN:	0262195267

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MARC


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adam_text	CONTENTS VOL UME 1. COGFNITIVE ARCNITECTURE PART I 1 OWARD A CALCULUS OL INE MINO./BRAIN: /VIA OVERVIEW 1 I IARMOM 7 OPT IRNIZATIOTI AND TNE COMPUTATIONAL ARCNITECTURE OL TNE MINA/BRAIN* / AUF ^MOIENSKY AND GERALD INE LEGENDRE 3 1 C VMR)OIS AND NEURONE: W NAT TYPE OL COMPUTER IS TNE MIND/NRAIN? O 2 C OMIECTIONIST COMPUTATION I 0 ^YMNOLIC COMPUTATION AND TNE COMBINATORIAL STRATEGV 18 3.1 TUE COMNINATORIAL STRATEGY ILLUSTRATED: SENTENCE PROEESSIN 18 3.2 OTHER CONSTITUENT RELATIONS 21 3.3 GRAMMALICAL AND LEXICAL KNOWLEDGE; AR^NMENT STRUCTURE 23 3.4 HXPLAMING TUE PRODUETIVITY OL COGNITION 2 / 4 TUE PROPOSED SOLUTION 31 5 TNE EVIDENCE 37 5.1 PRIOR EVIDENCE 37 5.2 NOVEL EVIDENCE 38 6.3 C TRICT DOMINATION 4J 5.4 UNIVERSALS 4.2 5.5 OPLIMALITY TNEORY AND TNE COGNITIVE SCIENCE OL LANGUAGE 43 5.6 PLULOSOPLIICAL AR^UMENTS 4O 6 RECAPITULATION 4O 7 UEVE RVIEW OR TNE NOOK 4 / /. 1 STRUCTURE OR TNE NOOK 47 /.2 CNAPTER-NV-CLIAPTER SUMMARV OR TNE DOOR O3 REFERENCES 58 2 PRINCIPLCS OR TNE LNTEGRATEA CONNECTIONIST/BYNIDOLIC COGNITIVE ARCNITECTURE * PAUL BMOLENSKY AND GERALDINE .LEGENDRE 63 1 C YMNOLIC SLRUCTURES AS PATTERNS OL ACTIVATION 6O 2 CNMINOLIC OPERATIONS AS PATTERNS OR CONNECTIONS / 1 O OPTIMIZATION IN NEURAL NETWORKS /4 4 OPTIMIZATION IN GRAM MAR 1: HARMONIE GRAMMAR 7 / 5 OPTIMIZATION IN GRAMMAR II: OPTIMALITV I IIEORV /8 6 L NIVERSAL GRAMMAR, UNIVERSAL GRAMMAR, AND INNATE KNOWLEDGE ./9 7 I REATMENT OL ILT* PRINCIPLCS IN TNE NOOK 81 8 1 LIE NIT! PICTURE: AN ICS MAP 81 8.1 IVEPRESENTATIONS: TONN 82 VUL CONTENTS 8.2 KEPRESENTATIONS: YVELL-RORMEDNESS; COMPUTALIONAI PERSPECTIVE 84 8.3 V ELL-LORMEDNESS: EMPIRICAL PERSPECTIVE 87 8.4 FUNCTIONS 89 8.5 PROCESSING 91 8.6 PUTTING I T AL I LOGETLIER 93 8. / LEARNING 93 REFERENCCS 96 3 FOUNDATIONAL IMPLICATIONS OR TLIE ICS ARCHITECTURE: UNIFICATION IN COGNITIVE SCIENCE * PAUL BMOLENSKY AND GERALAUIE LCGENARE 99 1 IMPLICATIONS IOR TLIE LOUNOATIONS OF COGNITIVE SCIENCE 101 2 THE MULTIPLE CLIALLENGES OR A UNIIIED COGNITIVE SCIENCE 106 2.1 SUELL STANTIVE INTEGRATION AND TLIE CENTRAL PARADOX OR COGNITION 10/ 2.2 METBODOLOGICAL INTEGRATION AND SEETARIAN WARRARE 110 2.3 METATHEORETIC INTEGRATION: MODEL- VERSUS PRINCIPLE-CENTERCD RESEARCLI 11 1 3 LONNECTIONISM AND INTEGRATION 113 4 ILLUSTRATIVE RESULTS AND INTEGRATIVE GOALS 115 4. I IVELEVANCE TO INTEGRATIVE GOALS 116 4.2 CAVEATS 118 REFERENCCS 120 4 OPTIMALITY: FROM NEURAL NETWORKS TO UNIVERSAL GRAMMAR * ALAN PRINCE AND PAUL SMOLCNSKY 123 I C P T IMA LITV TRI EORY 125 2 MARKEDNESS AND LAITLIRUMESS CONSTRAINTS 127 3 OPTIMALITY TNEORY AND NEURAL NETWORK TNEORY 131 4 LINGUISTIC KNOWLEDGE AND ITS USE 136 REFERCNCCS 141 PART II PRINCIPLES OR TLIE INTEGRATED CONNECTIOIIIST/SYMHOLIC COGNITIVE ARCHITECTURE 5 PORMALIZING TLIE PRINCIPLES I: REPRESENTATION AND PROCESSING IN TLIE MIND/BRAIN * PAUL SMOLENSHY 147 1 1 [: I EP[^^YMNOLIC SLRUCTURES AS PATTERN S OL: ACTIVITV 159 1.1 LONSTITUENT COMNINATION NY SUPERPOSITION 1 60 1.2 VARIABLE BINDING VIA INE TENSOR PRODUET 1 65 1 .3 EMBEDDING VIA RECURSIVELY DELINED ROLE VECTORS 182 1 .4 LLIE PRINCIPLE REP^-,; FORMALIZED 187 2 1 -.: RROC^V^YMBOLIC OPERATIONS AS PATTERNS OR CONNECTIONS 192 2.1 LINEAR PROCESSING IN NEURAL NETWORKS 1 92 2.2 CMNNBOLIE OPERATIONS IN ICS NETWORKS 1 94 CONTENTS IX 2.3 T 1 UMNIAN 200 3 MULTILEVEL DESCRIPTIONS IN ICS 201 REJERENCCS 203 6 FORMALIZINGF TNE PRINCIPLES II: OPTIMIZATION AND GRAM MAR * PAUL SMOLCNSKY AND UEERALAINE LEGENARE 207 1 OPTIMIZATION IN NEURAL NELWORKS 212 1.1 ILARMONY OL AN ACTIVATION VECTOR 213 1.2 HARMONY MAXIMIZATION 215 2 OPTIMIZATION IN GRAMMAR I: HARMONIE GRAMMAR 219 2.1 DERIVATION OL TNE I LARMONIC GRAMMAR LORMALISM 222 2.2 RELAT IONS BETWEEN LOWER AND M^BER LEVELS IN HARMONIE GRAMMAR 224 2.3 HARMONIE GRAMMAR AND FORMAL LANGUAGES 226 2.4 A COMPETENCE/PERRORMANEE DISTMETION 22/ 2.5 AN APPLICATION TO NATURAL LAN^UAGE SYNTAX/SEMAIILICS 229 3 OPTIMIZATION IN GRAMMAR II: OPTIMALITY TBEORV 232 REJERENCCS 233 7 SYMBOLIC COMPUTATION WITN ACTIVATION PATTERNS * PAUL SMOLCNSKY AND BRUCE TCSAR 235 1 REALIZIN SYMBOLIC STRUETURE IN ACTIVATION VECTORS 237 2 TBETYPOLOGY 238 3 PARIETAL REPRESENTATION OL SPATIAL LOCATION 24 1 4 CONTEXTUAL ROLES: PROPOSITIONAL MEMOIY 247 5 PATTERNS IN SPACE-TIME: SYNEBRONOUS-RIRING VARIABLE BINDING 249 5.1 TNE VARIABLE BINDING PROBLEM REVIEWED 249 5.2 BINDING BY SYNEBRONIZED RIRING 250 5.3 TENSOR PRODUCT REPRESENTATIONS 25 1 5.4 SYNEBRONIZED BRING AS A TENSOR PRODUCT 252 D.OE A TWO-WAY LORMAL/IMPLEMENTATIONAL REPRESENTATION TYPOLOGY 254 5.6 CONCLUSION 255 6 LONTRAETION: HOLO^RAPBIC REDUCED REPRESENTATIONS 256 6.1 TENSOR CONTRACTION 256 6.2 HOLOGRAPBIC REDUCED REPRESENTATIONS 258 7 BQUASBING: RECURSIVE AUTOASSOCIATIVE MEMORIES 263 REJERENCCS 268 8 TENSOR PRODUCT REPRESENTATIONS: PORMAL FOUNDATIONS PAUL SMOIENSKIJ 271 1 I NTRODUETION 2 73 1.1 TBC PROBLEM 273 1.2 DISTRIBUICD REPRESENTATION AND CONNECIIONIST VARIABLE BINDING 274 2 CONNECTIONIST REPRESENTATION AND TENSOR PRODUCT BINDING: DERINITION AND EXAMPLES 276 2.1 CONNECTIONIST REPRESENTATION 226 2.2 TE NSOR PRODUCT REPRESENTATION: DERINITION 277 X CONTENTS 2.3 1 REVIOUS REPRESENTATIONS AND SPECIAL CASES ORTENSOR PRODUET REALIZATION 284 2.4 RELATIONS AMONG PURCLY JOEAL, SEMILOCAL, AND KDLY DISTRIBULEU REALIZATIONS 289 3 TENSOR PRODUET REPRESENTATION: PROPERLIES 289 3.1 RNNINDM^ 290 3.2 URACELUI SATNRATION 295 3.3 ^TORAGE O STRUETURED DALA IN EONNECTIONIST MENIORIES 297 3.4 LEARNING OPTIMAL ROLE REPRESENTATIONS 300 4 EXTENSION TO RECURSIVE SLRUCLURES: TREES 300 4.1 KEALIZING RECURSIVE RUNCLIONS IN LEED-IORWARD NETWORKS 301 4.2 PEEDBACK NETWORKS: GRAMMARS 330 4.3 1PPL: TENSOR PRODUET PROGRAMMING PANGUAGE 336 4.4 PULLY DISTRIBULED RECURSIVE REPRESENTATIONS 340 PCFEROICCS 343 9 OPLIMIZATION IN NEURAL NETWORKS: ILARMONY MAXIMIZATION * PAUL SMALENSKY 345 1 CI ROU ND WO RK 349 1 . I DI SC RETE-UPDATE AND CONTINUOUS-UPDATE NETWORKS 349 1 .2 PEED-IORWARD AND SYMMETRIE CONNECTIVITY AREBITECTURES 350 1.3 1 LARMONY MAXIMIZATION IN STATIC AND DYNAMIE NETWORKS 352 I .4 QUASI-II NEAR UNITS 353 1.5 1 BRESBOLDS AND TNE BIAS UNIT H 354 2 KXPANSION OL TKE CORE 1 LARMONY LUNETION 355 3 DETERMINISLIC NEURAL NETWORKS AS DYNAMICAL SYSTEMS 357 3. I BOOLEAN NETWORKS 357 3.2 CONTINUOUS-VALUED NETWORKS 365 3.3 ^ U IN IN A RY OB 1 3.4 LXTENSIONS: BEYOND HARMONY MAXIMIZATION 382 4 ^TOCNASUEC NEURAL NETWORKS AS PROBANDISTIC MENTAL MODEIS 382 4.1 C^LOCNASTIC GLOBAL 1 LARMONV MAXIMIZATION: BOLLZMANN NETWORKS 382 4.2 ALODELING A STOENASTIE ENVIRONMENT: I LARMONIUM NETWORKS 385 5 CONCLUSION 390 REFERENCES 391 10 HARMONIE ORAMMARS AND HARMONIE PARSERS IOR PORMAL LANGUAGCS * JOHN HAIE ANA PAUL SMOLENSLF 393 1 LONTEXT-RREE BARMONIC GRAMMARS 395 2 PARSIN^ 402 2. I LIRAMMAR PREPROCESSING 402 2.2 PXAMPLE 407 2.3 LLOPFIELD NETWORK 408 2.4 PXAMPLE 411 2.0 CONCLUDINTJ REMARKS 412 FOTERENECS 415 CONTENTS XI 1 1 THE INTERACTION OI BYNTAX AND BEMANLICS: A HARMONIE GRAMMAR ACCOUNT OF BPLIT INTRANSITIVITY * GERALAINE LEQENARE, ) OSHIRO MIYATA, ANA PAUL SMOIENSKI) 417 1 THE PROHLEM 4 IG 1.1 TMLIT INTRANSITIVITY CROSSLHI^UISTICALLY 410 1.2 BPIIT INTRANSITIVITY IN FREUEN 423 2 AUEA RMONIC GRAMMAR AECOUNT 430 2.1 REVIEW O HARMONIE GRANNNAR 43T) 2.2 TLIE EONSTRAINTS 432 3 INE EONNEETIONIST REALIZATION 434 3.1 THE NETWOR KS 434 3.2 MELNODOLOGICAL SUMMARV 44;? 4 ANAL VZIN THE AECOUNT 446 4.1 FMPINCA! ADEQUAEV 446 4.2 CONSISLENEY 447 4.0 LOMPRELIENS IHILITV 44/ 4.4 X ECESSITY OI SEMANTIC AND SVNLACTIC LOA IURE? 447 4.5 GENERALITY 448 4.6 FXTEIIDIII THE AECOUNT 448 5 CONELUSION 440 REFERENCES 451 12 OPTIMALITY INEORY: INE TOTRUETURE, USE, ANA ACQUISITION OI GRANIMATICAL KNOWLEDGE * I AUL ^MOLCNSRI/, (JERALAINE LEGENARE, ANA BRUCE IESAR 4O 3 1 PRINCIPLES OR OPTIMALITY 1 HEORY: OL IN THEORETICAL LINGUISTIES 46T) 1.1 STRUETURAL DESERIPTIONS 46T) .1 .2 GRAMMARS SPEEIIY FUNCTIONS; EANDIDATES RROM GEN AND INT 480 1.3 I IANUONIC ORDERING: JJ-EVAL AND COMPETITION 484 1.4 VIOLAHLE CONSTRAINTS: CON, MARKUEDXI!^, AND FAITI IFI LMISS 484 1 .O OPTIMALITY, HARMONIC ORDERIN^!, AND CONSTRAINT RAN LEI N^ 480 1.6 [ NIVERSALITY, IACTORIAL TYPOLO^Y, AND KICHNESS OI TLIE HASE 40O I . / FEXICON OPTIMIXATION 407 1 .8 THE STRUETURE OL CON 5T) I 1.9 OPTIMALITY TL LEORV S CONTRIHUTIONS TO LINGUI STIC TL LEORV 504 2 TNE GRAMMAR-PROCESSING PROHLEM P 1 0 3 TNE GRAMMAR-LEARNING PROHLEM 5 1 4 4 FREQUENTLY ASHED QUESTIONS : FXPLANATION IN OPTIMALITY 1 HEORY 523 5 LONCLUSION 5 32 REFERCNCES 536 INDEX 545
adam_txt	CONTENTS VOL UME 1. COGFNITIVE ARCNITECTURE PART I 1 OWARD A CALCULUS OL INE MINO./BRAIN: /VIA OVERVIEW 1 I IARMOM 7 OPT IRNIZATIOTI AND TNE COMPUTATIONAL ARCNITECTURE OL TNE MINA/BRAIN* / AUF ^MOIENSKY AND GERALD INE LEGENDRE 3 1 C\VMR)OIS AND NEURONE: W'NAT TYPE OL COMPUTER IS TNE MIND/NRAIN? O 2 C OMIECTIONIST COMPUTATION I 0 ^YMNOLIC COMPUTATION AND TNE COMBINATORIAL STRATEGV 18 3.1 TUE COMNINATORIAL STRATEGY ILLUSTRATED: SENTENCE PROEESSIN 18 3.2 OTHER CONSTITUENT RELATIONS 21 3.3 GRAMMALICAL AND LEXICAL KNOWLEDGE; AR^NMENT STRUCTURE 23 3.4 HXPLAMING TUE PRODUETIVITY OL COGNITION 2 / 4 TUE PROPOSED SOLUTION 31 5 TNE EVIDENCE 37 5.1 PRIOR EVIDENCE 37 5.2 NOVEL EVIDENCE 38 6.3 C" TRICT DOMINATION 4J 5.4 UNIVERSALS 4.2 5.5 OPLIMALITY TNEORY AND TNE COGNITIVE SCIENCE OL LANGUAGE 43 5.6 PLULOSOPLIICAL AR^UMENTS 4O 6 RECAPITULATION 4O 7 UEVE RVIEW OR TNE NOOK 4 / /. 1 STRUCTURE OR TNE NOOK 47 /.2 CNAPTER-NV-CLIAPTER SUMMARV OR TNE DOOR O3 REFERENCES 58 2 PRINCIPLCS OR TNE LNTEGRATEA CONNECTIONIST/BYNIDOLIC COGNITIVE ARCNITECTURE * PAUL BMOLENSKY AND GERALDINE .LEGENDRE 63 1 C"YMNOLIC SLRUCTURES AS PATTERNS OL ACTIVATION 6O 2 CNMINOLIC OPERATIONS AS PATTERNS OR CONNECTIONS / 1 O OPTIMIZATION IN NEURAL NETWORKS /4 4 OPTIMIZATION IN GRAM MAR 1: HARMONIE GRAMMAR 7 / 5 OPTIMIZATION IN GRAMMAR II: OPTIMALITV I IIEORV /8 6 L NIVERSAL GRAMMAR, UNIVERSAL GRAMMAR, AND INNATE KNOWLEDGE ./9 7 I REATMENT OL ILT* PRINCIPLCS IN TNE NOOK 81 8 1 LIE NIT! PICTURE: AN ICS MAP 81 8.1 IVEPRESENTATIONS: TONN 82 VUL CONTENTS 8.2 KEPRESENTATIONS: YVELL-RORMEDNESS; COMPUTALIONAI PERSPECTIVE 84 8.3 \V ELL-LORMEDNESS: EMPIRICAL PERSPECTIVE 87 8.4 FUNCTIONS 89 8.5 PROCESSING 91 8.6 PUTTING I T AL I LOGETLIER 93 8. / LEARNING 93 REFERENCCS 96 3 FOUNDATIONAL IMPLICATIONS OR TLIE ICS ARCHITECTURE: UNIFICATION IN COGNITIVE SCIENCE * PAUL BMOLENSKY AND GERALAUIE LCGENARE 99 1 IMPLICATIONS IOR TLIE LOUNOATIONS OF COGNITIVE SCIENCE 101 2 THE MULTIPLE CLIALLENGES OR A UNIIIED COGNITIVE SCIENCE 106 2.1 SUELL STANTIVE INTEGRATION AND TLIE CENTRAL PARADOX OR COGNITION 10/ 2.2 METBODOLOGICAL INTEGRATION AND SEETARIAN WARRARE 110 2.3 METATHEORETIC INTEGRATION: MODEL- VERSUS PRINCIPLE-CENTERCD RESEARCLI 11 1 3 LONNECTIONISM AND INTEGRATION 113 4 ILLUSTRATIVE RESULTS AND INTEGRATIVE GOALS 115 4. I IVELEVANCE TO INTEGRATIVE GOALS 116 4.2 CAVEATS 118 REFERENCCS 120 4 OPTIMALITY: FROM NEURAL NETWORKS TO UNIVERSAL GRAMMAR * ALAN PRINCE AND PAUL SMOLCNSKY 123 I C P T IMA LITV TRI EORY 125 2 MARKEDNESS AND LAITLIRUMESS CONSTRAINTS 127 3 OPTIMALITY TNEORY AND NEURAL NETWORK TNEORY 131 4 LINGUISTIC KNOWLEDGE AND ITS USE 136 REFERCNCCS 141 PART II PRINCIPLES OR TLIE INTEGRATED CONNECTIOIIIST/SYMHOLIC COGNITIVE ARCHITECTURE 5 PORMALIZING TLIE PRINCIPLES I: REPRESENTATION AND PROCESSING IN TLIE MIND/BRAIN * PAUL SMOLENSHY 147 1 1 [: I\EP[^^YMNOLIC SLRUCTURES AS PATTERN S OL: ACTIVITV 159 1.1 LONSTITUENT COMNINATION NY SUPERPOSITION 1 60 1.2 VARIABLE BINDING VIA INE TENSOR PRODUET 1 65 1 .3 EMBEDDING VIA RECURSIVELY DELINED ROLE VECTORS 182 1 .4 LLIE PRINCIPLE REP^-,; FORMALIZED 187 2 1 -.: RROC^V^YMBOLIC OPERATIONS AS PATTERNS OR CONNECTIONS 192 2.1 LINEAR PROCESSING IN NEURAL NETWORKS 1 92 2.2 CMNNBOLIE OPERATIONS IN ICS NETWORKS 1 94 CONTENTS IX 2.3 T" 1 UMNIAN' 200 3 MULTILEVEL DESCRIPTIONS IN ICS 201 REJERENCCS 203 6 FORMALIZINGF TNE PRINCIPLES II: OPTIMIZATION AND GRAM MAR * PAUL SMOLCNSKY AND UEERALAINE LEGENARE 207 1 OPTIMIZATION IN NEURAL NELWORKS 212 1.1 ILARMONY OL AN ACTIVATION VECTOR 213 1.2 HARMONY MAXIMIZATION 215 2 OPTIMIZATION IN GRAMMAR I: HARMONIE GRAMMAR 219 2.1 DERIVATION OL TNE I LARMONIC GRAMMAR LORMALISM 222 2.2 RELAT IONS BETWEEN LOWER AND M^BER LEVELS IN HARMONIE GRAMMAR 224 2.3 HARMONIE GRAMMAR AND FORMAL LANGUAGES 226 2.4 A COMPETENCE/PERRORMANEE DISTMETION 22/ 2.5 AN APPLICATION TO NATURAL LAN^UAGE SYNTAX/SEMAIILICS 229 3 OPTIMIZATION IN GRAMMAR II: OPTIMALITY TBEORV 232 REJERENCCS 233 7 SYMBOLIC COMPUTATION WITN ACTIVATION PATTERNS * PAUL SMOLCNSKY AND BRUCE TCSAR 235 1 REALIZIN SYMBOLIC STRUETURE IN ACTIVATION VECTORS 237 2 TBETYPOLOGY 238 3 PARIETAL REPRESENTATION OL SPATIAL LOCATION 24 1 4 CONTEXTUAL ROLES: PROPOSITIONAL MEMOIY 247 5 PATTERNS IN SPACE-TIME: SYNEBRONOUS-RIRING VARIABLE BINDING 249 5.1 TNE VARIABLE BINDING PROBLEM REVIEWED 249 5.2 BINDING BY SYNEBRONIZED RIRING 250 5.3 TENSOR PRODUCT REPRESENTATIONS 25 1 5.4 SYNEBRONIZED BRING AS A TENSOR PRODUCT 252 D.OE A TWO-WAY LORMAL/IMPLEMENTATIONAL REPRESENTATION TYPOLOGY 254 5.6 CONCLUSION 255 6 LONTRAETION: HOLO^RAPBIC REDUCED REPRESENTATIONS 256 6.1 TENSOR CONTRACTION 256 6.2 HOLOGRAPBIC REDUCED REPRESENTATIONS 258 7 BQUASBING: RECURSIVE AUTOASSOCIATIVE MEMORIES 263 REJERENCCS 268 8 TENSOR PRODUCT REPRESENTATIONS: PORMAL FOUNDATIONS PAUL SMOIENSKIJ 271 1 I NTRODUETION 2 73 1.1 TBC PROBLEM 273 1.2 DISTRIBUICD REPRESENTATION AND CONNECIIONIST VARIABLE BINDING 274 2 CONNECTIONIST REPRESENTATION AND TENSOR PRODUCT BINDING: DERINITION AND EXAMPLES 276 2.1 CONNECTIONIST REPRESENTATION 226 2.2 TE NSOR PRODUCT REPRESENTATION: DERINITION 277 X CONTENTS 2.3 1 REVIOUS REPRESENTATIONS AND SPECIAL CASES ORTENSOR PRODUET REALIZATION 284 2.4 RELATIONS AMONG PURCLY JOEAL, SEMILOCAL, AND KDLY DISTRIBULEU REALIZATIONS 289 3 TENSOR PRODUET REPRESENTATION: PROPERLIES 289 3.1 RNNINDM^ 290 3.2 URACELUI SATNRATION 295 3.3 ^TORAGE O\ STRUETURED DALA IN EONNECTIONIST MENIORIES 297 3.4 LEARNING OPTIMAL ROLE REPRESENTATIONS 300 4 EXTENSION TO RECURSIVE SLRUCLURES: TREES 300 4.1 KEALIZING RECURSIVE RUNCLIONS IN LEED-IORWARD NETWORKS 301 4.2 PEEDBACK NETWORKS: GRAMMARS 330 4.3 1PPL: TENSOR PRODUET PROGRAMMING PANGUAGE 336 4.4 PULLY DISTRIBULED RECURSIVE REPRESENTATIONS 340 PCFEROICCS 343 9 OPLIMIZATION IN NEURAL NETWORKS: ILARMONY MAXIMIZATION * PAUL SMALENSKY 345 1 CI ROU ND WO RK 349 1 . I DI SC RETE-UPDATE AND CONTINUOUS-UPDATE NETWORKS 349 1 .2 PEED-IORWARD AND SYMMETRIE CONNECTIVITY AREBITECTURES 350 1.3 1 LARMONY MAXIMIZATION IN STATIC AND DYNAMIE NETWORKS 352 I .4 QUASI-II NEAR UNITS 353 1.5 1 BRESBOLDS AND TNE BIAS UNIT H 354 2 KXPANSION OL TKE CORE 1 LARMONY LUNETION 355 3 DETERMINISLIC NEURAL NETWORKS AS DYNAMICAL SYSTEMS 357 3. I BOOLEAN NETWORKS 357 3.2 CONTINUOUS-VALUED NETWORKS 365 3.3 ^ U IN IN A RY OB 1 3.4 LXTENSIONS: BEYOND HARMONY MAXIMIZATION 382 4 ^TOCNASUEC NEURAL NETWORKS AS PROBANDISTIC MENTAL MODEIS 382 4.1 C^LOCNASTIC GLOBAL 1 LARMONV MAXIMIZATION: BOLLZMANN NETWORKS 382 4.2 ALODELING A STOENASTIE ENVIRONMENT: I LARMONIUM NETWORKS 385 5 CONCLUSION 390 REFERENCES 391 10 HARMONIE ORAMMARS AND HARMONIE PARSERS IOR PORMAL LANGUAGCS * JOHN HAIE ANA PAUL SMOLENSLF 393 1 LONTEXT-RREE BARMONIC GRAMMARS 395 2 PARSIN^ 402 2. I LIRAMMAR PREPROCESSING 402 2.2 PXAMPLE 407 2.3 LLOPFIELD NETWORK 408 2.4 PXAMPLE 411 2.0 CONCLUDINTJ REMARKS 412 FOTERENECS 415 CONTENTS XI 1 1 THE INTERACTION OI BYNTAX AND BEMANLICS: A HARMONIE GRAMMAR ACCOUNT OF BPLIT INTRANSITIVITY * GERALAINE LEQENARE, ) OSHIRO MIYATA, ANA PAUL SMOIENSKI) 417 1 THE PROHLEM 4 IG 1.1 TMLIT INTRANSITIVITY CROSSLHI^UISTICALLY 410 1.2 BPIIT INTRANSITIVITY IN FREUEN 423 2 AUEA RMONIC GRAMMAR AECOUNT 430 2.1 REVIEW O\ HARMONIE GRANNNAR 43T) 2.2 TLIE EONSTRAINTS 432 3 INE EONNEETIONIST REALIZATION 434 3.1 THE NETWOR KS 434 3.2 MELNODOLOGICAL SUMMARV 44;? 4 ANAL VZIN THE AECOUNT 446 4.1 FMPINCA! ADEQUAEV 446 4.2 CONSISLENEY 447 4.0 LOMPRELIENS IHILITV 44/ 4.4 X ECESSITY OI SEMANTIC AND SVNLACTIC LOA IURE? 447 4.5 GENERALITY 448 4.6 FXTEIIDIII THE AECOUNT 448 5 CONELUSION 440 REFERENCES 451 12 OPTIMALITY INEORY: INE TOTRUETURE, USE, ANA ACQUISITION OI GRANIMATICAL KNOWLEDGE * I AUL ^MOLCNSRI/, (JERALAINE LEGENARE, ANA BRUCE IESAR 4O 3 1 PRINCIPLES OR OPTIMALITY 1 HEORY: OL IN THEORETICAL LINGUISTIES 46T) 1.1 STRUETURAL DESERIPTIONS 46T) .1 .2 GRAMMARS SPEEIIY FUNCTIONS; EANDIDATES RROM GEN AND INT 480 1.3 I IANUONIC ORDERING: JJ-EVAL AND COMPETITION 484 1.4 VIOLAHLE CONSTRAINTS: CON, MARKUEDXI!^, AND FAITI IFI 'LMISS 484 1 .O OPTIMALITY, HARMONIC ORDERIN^!, AND CONSTRAINT RAN LEI N^ 480 1.6 [ ' NIVERSALITY, IACTORIAL TYPOLO^Y, AND KICHNESS OI TLIE HASE 40O I . / FEXICON OPTIMIXATION 407 1 .8 THE STRUETURE OL CON 5T) I 1.9 OPTIMALITY TL LEORV S CONTRIHUTIONS TO LINGUI STIC TL LEORV 504 2 TNE GRAMMAR-PROCESSING PROHLEM P 1 0 3 TNE GRAMMAR-LEARNING PROHLEM 5 1 4 4 FREQUENTLY ASHED "QUESTIONS': FXPLANATION IN OPTIMALITY 1 HEORY 523 5 LONCLUSION 5 32 REFERCNCES 536 INDEX 545
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id	DE-604.BV023015888
illustrated	Illustrated
index_date	2024-07-02T19:11:17Z
indexdate	2024-07-09T21:09:02Z
institution	BVB
isbn	0262195267
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-016220049
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physical	XXIV, 563 S. Ill.
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spelling	Smolensky, Paul Verfasser aut The harmonic mind from neural computation to optimality-theoretic grammar 1 Cognitive architecture Paul Smolensky and Géraldine Legendre Cambridge, MA MIT Press 2006 XXIV, 563 S. Ill. txt rdacontent n rdamedia nc rdacarrier Bradford Books Legendre, Géraldine Verfasser aut (DE-604)BV023015873 1 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016220049&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Smolensky, Paul Legendre, Géraldine The harmonic mind from neural computation to optimality-theoretic grammar
title	The harmonic mind from neural computation to optimality-theoretic grammar
title_auth	The harmonic mind from neural computation to optimality-theoretic grammar
title_exact_search	The harmonic mind from neural computation to optimality-theoretic grammar
title_exact_search_txtP	The harmonic mind from neural computation to optimality-theoretic grammar
title_full	The harmonic mind from neural computation to optimality-theoretic grammar 1 Cognitive architecture Paul Smolensky and Géraldine Legendre
title_fullStr	The harmonic mind from neural computation to optimality-theoretic grammar 1 Cognitive architecture Paul Smolensky and Géraldine Legendre
title_full_unstemmed	The harmonic mind from neural computation to optimality-theoretic grammar 1 Cognitive architecture Paul Smolensky and Géraldine Legendre
title_short	The harmonic mind
title_sort	the harmonic mind from neural computation to optimality theoretic grammar cognitive architecture
title_sub	from neural computation to optimality-theoretic grammar
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016220049&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV023015873
work_keys_str_mv	AT smolenskypaul theharmonicmindfromneuralcomputationtooptimalitytheoreticgrammar1 AT legendregeraldine theharmonicmindfromneuralcomputationtooptimalitytheoreticgrammar1

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