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231204s2020 xx o ||||0 eng d |
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|a 9783030318468
|q (electronic bk.)
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|z 9783030318444
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|a (MiAaPQ)EBC6199780
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|a (Au-PeEL)EBL6199780
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|a (OCoLC)1155637820
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|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
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|a P101-120
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|a Brasoveanu, Adrian.
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|a Computational Cognitive Modeling and Linguistic Theory.
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|a 1st ed.
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| 264 |
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|a Cham :
|b Springer International Publishing AG,
|c 2020.
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|c ©2020.
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| 300 |
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|a 1 online resource (299 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
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|a Language, Cognition, and Mind Series ;
|v v.6
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|a Intro -- Foreword and Acknowledgments -- Contents -- 1 Introduction -- 1.1 Background Knowledge -- 1.2 The Structure of the Book -- 2 The ACT-R Cognitive Architecture and Its pyactr Implementation -- 2.1 Cognitive Architectures and ACT-R -- 2.2 ACT-R in Cognitive Science and Linguistics -- 2.3 ACT-R Implementation -- 2.4 Knowledge in ACT-R -- 2.4.1 Declarative Memory: Chunks -- 2.4.2 Procedural Memory: Productions -- 2.5 The Basics of pyactr: Declaring Chunks -- 2.6 Modules and Buffers -- 2.7 Writing Productions in pyactr -- 2.8 Running Our First Model -- 2.9 Some More Models -- 2.9.1 The Counting Model -- 2.9.2 Regular Grammars in ACT-R -- 2.9.3 Counter Automata in ACT-R -- 2.10 Appendix: The Four Models for Agreement, Counting, Regular Grammars and Counter Automata -- 3 The Basics of Syntactic Parsing in ACT-R -- 3.1 Top-Down Parsing -- 3.2 Building a Top-Down Parser in pyactr -- 3.2.1 Modules, Buffers, and the Lexicon -- 3.2.2 Production Rules -- 3.3 Running the Model -- 3.4 Failures to Parse and Taking Snapshots of the Mind When It Fails -- 3.5 Top-Down Parsing as an Imperfect Psycholinguistic Model -- 3.6 Appendix: The Top-Down Parser -- 4 Syntax as a Cognitive Process: Left-Corner Parsing with Visual and Motor Interfaces -- 4.1 The Environment in ACT-R: Modeling Lexical Decision Tasks -- 4.1.1 The Visual Module -- 4.1.2 The Motor Module -- 4.2 The Lexical Decision Model: Productions -- 4.3 Running the Lexical Decision Model and Understanding the Output -- 4.3.1 Visual Processes in Our Lexical Decision Model -- 4.3.2 Manual Processes in Our Lexical Decision Model -- 4.4 A Left-Corner Parser with Visual and Motor Interfaces -- 4.5 Appendix: The Lexical Decision Model -- 5 Brief Introduction to Bayesian Methods and pymc3 for Linguists -- 5.1 The Python Libraries We Need -- 5.2 The Data.
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|a 5.3 Prior Beliefs and the Basics of pymc3, matplotlib and seaborn -- 5.4 Our Function for Generating the Data (The Likelihood) -- 5.5 Posterior Beliefs: Estimating the Model Parameters and Answering the Theoretical Question -- 5.6 Conclusion -- 5.7 Appendix -- 6 Modeling Linguistic Performance -- 6.1 The Power Law of Forgetting -- 6.2 The Base Activation Equation -- 6.3 The Attentional Weighting Equation -- 6.4 Activation, Retrieval Probability and Retrieval Latency -- 6.5 Appendix -- 7 Competence-Performance Models for Lexical Access and Syntactic Parsing -- 7.1 The Log-Frequency Model of Lexical Decision -- 7.2 The Simplest ACT-R Model of Lexical Decision -- 7.3 The Second ACT-R Model of Lexical Decision: Adding the Latency Exponent -- 7.4 Bayes+ACT-R: Quantitative Comparison for Qualitative Theories -- 7.4.1 The Bayes+ACT-R Lexical Decision Model Without the Imaginal Buffer -- 7.4.2 Bayes+ACT-R Lexical Decision with Imaginal-Buffer Involvement and Default Encoding Delay for the Imaginal Buffer -- 7.4.3 Bayes+ACT-R Lexical Decision with Imaginal Buffer and 0 Delay -- 7.5 Modeling Self-paced Reading with a Left-Corner Parser -- 7.6 Conclusion -- 7.7 Appendix: The Bayes and Bayes+ACT-R Models -- 7.7.1 Lexical Decision Models -- 7.7.2 Left-Corner Parser Models -- 8 Semantics as a Cognitive Process I: Discourse Representation Structures in Declarative Memory -- 8.1 The Fan Effect and the Retrieval of DRSs from Declarative Memory -- 8.2 The Fan Effect Reflects the Way Meaning Representations (DRSs) Are Organized in Declarative Memory -- 8.3 Integrating ACT-R and DRT: An Eager Left-Corner Syntax/Semantics Parser -- 8.4 Semantic (Truth-Value) Evaluation as Memory Retrieval, and Fitting the Model to Data -- 8.5 Model Discussion and Summary -- 8.6 Appendix: End-to-End Model of the Fan Effect with an Explicit Syntax/Semantics Parser.
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|a 8.6.1 File ch8/parser_dm_fan.py -- 8.6.2 File ch8/parser_rules_fan.py -- 8.6.3 File ch8/run_parser_fan.py -- 8.6.4 File ch8/estimate_parser_fan.py -- 9 Semantics as a Cognitive Process II: Active Search for Cataphora Antecedents and the Semantics of Conditionals -- 9.1 Two Experiments Studying the Interaction Between Conditionals and Cataphora -- 9.1.1 Experiment 1: Anaphora Versus Cataphora in Conjunctions Versus Conditionals -- 9.1.2 Experiment 2: Cataphoric Presuppositions in Conjunctions Versus Conditionals -- 9.2 Mechanistic Processing Models as an Explanatory Goal for Semantics -- 9.3 Modeling the Interaction of Conditionals and Pronominal Cataphora -- 9.3.1 Chunk Types and the Lexical Information Stored in Declarative Memory -- 9.3.2 Rules to Advance Dref Peg Positions, Key Presses and Word-Related Rules -- 9.3.3 Phrase Structure Rules -- 9.3.4 Rules for Conjunctions and Anaphora Resolution -- 9.3.5 Rules for Conditionals and Cataphora Resolution -- 9.4 Modeling the Interaction of Conditionals and Cataphoric Presuppositions -- 9.4.1 Rules for `Again' and Presupposition Resolution -- 9.4.2 Rules for `Maximize Presupposition' -- 9.4.3 Fitting the Model to the Experiment 2 Data -- 9.5 Conclusion -- 9.6 Appendix: The Complete Syntax/Semantics Parser -- 9.6.1 File ch9/parser_dm.py -- 9.6.2 File ch9/parser_rules.py -- 9.6.3 File ch9/run_parser.py -- 9.6.4 File ch9/estimate_parser_parallel.py -- 10 Future Directions -- Appendix Bibliography.
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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Dotlačil, Jakub.
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| 776 |
0 |
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|i Print version:
|a Brasoveanu, Adrian
|t Computational Cognitive Modeling and Linguistic Theory
|d Cham : Springer International Publishing AG,c2020
|z 9783030318444
|
| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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0 |
|a Language, Cognition, and Mind Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6199780
|z Click to View
|
