Computational Cognitive Modeling And Linguistic Theory
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Computational Cognitive Modeling And Linguistic Theory
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Author : Adrian Brasoveanu
language : en
Publisher: Springer Nature
Release Date : 2020-05-14
Computational Cognitive Modeling And Linguistic Theory written by Adrian Brasoveanu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-14 with Philosophy categories.
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth)
Computational Cognitive Modeling And Linguistic Theory
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Author : Adrian Brasoveanu
language : en
Publisher: Springer
Release Date : 2020-06-01
Computational Cognitive Modeling And Linguistic Theory written by Adrian Brasoveanu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-01 with Philosophy categories.
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science.
Computational Cognitive Modeling And Linguistic Theory
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Author : Adrian Brasoveanu
language : en
Publisher:
Release Date : 2020
Computational Cognitive Modeling And Linguistic Theory written by Adrian Brasoveanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Language and languages-Philosophy categories.
Cognitive Modeling
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Author : Thad A. Polk
language : en
Publisher: MIT Press
Release Date : 2002
Cognitive Modeling written by Thad A. Polk and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Psychology categories.
A comprehensive introduction to the computational modeling of human cognition.
Computational Modeling In Cognition
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Author : Stephan Lewandowsky
language : en
Publisher: SAGE Publications
Release Date : 2010-11-29
Computational Modeling In Cognition written by Stephan Lewandowsky and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-29 with Psychology categories.
Key Features --
Language Cognition And Computational Models
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Author : Thierry Poibeau
language : en
Publisher: Cambridge University Press
Release Date : 2018-01-25
Language Cognition And Computational Models written by Thierry Poibeau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-25 with Computers categories.
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
The Cambridge Handbook Of Computational Psychology
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Author : Ron Sun
language : en
Publisher: Cambridge University Press
Release Date : 2008-04-28
The Cambridge Handbook Of Computational Psychology written by Ron Sun and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-28 with Computers categories.
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Trust Theory
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Author : Christiano Castelfranchi
language : en
Publisher: John Wiley & Sons
Release Date : 2010-04-20
Trust Theory written by Christiano Castelfranchi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-20 with Technology & Engineering categories.
This book provides an introduction, discussion, and formal-based modelling of trust theory and its applications in agent-based systems This book gives an accessible explanation of the importance of trust in human interaction and, in general, in autonomous cognitive agents including autonomous technologies. The authors explain the concepts of trust, and describe a principled, general theory of trust grounded on cognitive, cultural, institutional, technical, and normative solutions. This provides a strong base for the author’s discussion of role of trust in agent-based systems supporting human-computer interaction and distributed and virtual organizations or markets (multi-agent systems). Key Features: Provides an accessible introduction to trust, and its importance and applications in agent-based systems Proposes a principled, general theory of trust grounding on cognitive, cultural, institutional, technical, and normative solutions. Offers a clear, intuitive approach, and systematic integration of relevant issues Explains the dynamics of trust, and the relationship between trust and security Offers operational definitions and models directly applicable both in technical and experimental domains Includes a critical examination of trust models in economics, philosophy, psychology, sociology, and AI This book will be a valuable reference for researchers and advanced students focused on information and communication technologies (computer science, artificial intelligence, organizational sciences, and knowledge management etc.), as well as Web-site and robotics designers, and for scholars working on human, social, and cultural aspects of technology. Professionals of ecommerce systems and peer-to-peer systems will also find this text of interest.
Model Based Reasoning In Science And Technology
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Author : Ángel Nepomuceno-Fernández
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Model Based Reasoning In Science And Technology written by Ángel Nepomuceno-Fernández and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Philosophy categories.
This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.
Ambiguity Resolution In Language Learning
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Author : Hinrich Schütze
language : en
Publisher: Center for the Study of Language and Information Publications
Release Date : 1997-05-13
Ambiguity Resolution In Language Learning written by Hinrich Schütze and has been published by Center for the Study of Language and Information Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-13 with Language Arts & Disciplines categories.
This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.