Essentials of a Theory of Language Cognition
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Activity Theory and the Transformation of Pedagogic Practice
Educational Studies in Japan: International Yearbook No.1, December, 2006, pp.77-90 Activity Theory and the Transformation of Pedagogic Practice YAMAZUMI, Katsuhiro* Today, work and other societal practices are experiencing accelerating paradigm shifts from mass-production-based systems toward new systems based on networking between organizations, collaboration, and partnerships. This shift requires new paradigms in the fields of education, learning, and develop- ment. As human activity quickly changes to networking and partnering among diverse cultural organizations, we need to ask ourselves whether schools and other actors are equipped to prepare people for such practices. We also need to think about what kind of learning can generate critical and creative agency among learners. Such agency will help people shape their own lives and future. In this paper, I discuss the potential offered by cultural-historical activity the- ory for analyzing and redesigning new, expanded pedagogic practices in schools. Putting the third generation of activity theory to pedagogic practice, I propose that new forms of expansive learning that are transforming pedagog- ic activity structures in schools can occur in advanced networks of learning that transcend institutional boundaries of schools, turning them into societal agents of change. To concretize the notion of expansive learning as one new form of pedagogy in which boundary-crossing networks of learning and the changing agent role of schools emerge, I will illustrate and analyze a children’s after-school activity project called New School: a multi-activity collaboration in which a university, an elementary school, families, and expert groups and community organizations outside the school cooperate to create advanced learning networks. -
The Utility and Ubiquity of Taboo Words Timothy Jay
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE The Utility and Ubiquity of Taboo Words Timothy Jay Massachusetts College of Liberal Arts ABSTRACT—Taboo words are defined and sanctioned by This review is organized around eight questions that are used institutions of power (e.g., religion, media), and prohibi- to pique psychologists’ interest in taboo words and to promote a tions are reiterated in child-rearing practices. Native deeper understanding of them through future research: What are speakers acquire folk knowledge of taboo words, but it taboo words and why do they exist? What motivates people to use lacks the complexity that psychological science requires for taboo words? How often do people say taboo words, and who says an understanding of swearing. Misperceptions persist in them? What are the most frequently used taboo words? Does psychological science and in society at large about how psychological science acknowledge the significance of the frequently people swear or what it means when they do. frequency of taboo word use? Is a folk knowledge of taboo words Public recordings of taboo words establish the commonplace sufficient for psychological science? How should psychological occurrence of swearing (ubiquity), although frequency data science define language? Does psychological science even need are not always appreciated in laboratory research. A set of a theory of swearing? 10 words that has remained stable over the past 20 years accounts for 80% of public swearing. Swearing is positively WHATARE TABOO WORDS AND WHY DO THEY EXIST? correlated with extraversion and Type A hostility but neg- atively correlated with agreeableness, conscientiousness, I use the terms taboo words or swear words interchangeably to religiosity, and sexual anxiety. -
First Language Acquisition Theories and Transition to SLA Mohammad
The Asian Conference on Language Learning 2013 Official Conference Proceedings Osaka, Japan First Language Acquisition Theories and Transition to SLA Mohammad Torikul Islam Jazan University, Saudi Arabia 0289 The Asian Conference on Language Learning 2013 Official Conference Proceedings 2013 Abstract First language (L1) acquisition studies have been an interesting issue to both linguists and psycholinguists. A lot of research studies have been carried out over past several decades to investigate how L1 or child language acquisition mechanism takes place. The end point of L1 acquisition theories leads to interlanguage theories which eventually lead to second language acquisition (SLA) research studies. In this paper, I will show that there have been at least three theories that have offered new ideas on L1 acquisition. However, two theories of L1 acquisition have been very prominent as they have propounded two revolutionary schools of thought: Behaviorism and Mentalism. Therefore, in the first segment of this paper I will deal with the detailed theoretical assumptions on these two theories along with a brief discussion on Social Interactionist Theory of L1 acquisition. The second segment will deal with interlanguage theories and their seminal contributions to subsequent language researchers. Finally, I will briefly show how L1 acquisition theories and interlanguage theories have paved the way for new ideas into SLA research studies. iafor The International Academic Forum www.iafor.org 499 The Asian Conference on Language Learning 2013 Official Conference Proceedings Osaka, Japan Behaviorist Theory Behaviorism or Behaviorist Theory of first language (L1) plays a crucial role in understanding the early importance attached to the role of the first language acquisition. -
Distributed Cognition As the Basis for Adaptation and Homeostasis In
DISTRIBUTEDCOGNITIONASTHEBASISFORADAPTATION ANDHOMEOSTASISINROBOTS james henry stovold Doctor of Philosophy University of York Computer Science July 2016 ABSTRACT Many researchers approach the problem of building autonomous systems by looking to biology for inspiration. This has given rise to a wide-range of artificial systems mimicking their biological counterparts—artificial neural networks, artificial endocrine systems, and artificial musculoskeletal systems are prime examples. While these systems are succinct and work well in isolation, they can become cumbersome and complicated when combined to perform more complex tasks. Autonomous behaviour is one such complex task. This thesis considers autonomy as the complex behaviour it is, and proposes a bottom-up approach to developing autonomous beha- viour from cognition. This consists of investigating how cognition can provide new approaches to the current limitations of swarm systems, and using this as the basis for one type of autonomous behaviour: artificial homeostasis. Distributed cognition, a form of emergent cognition, is most often described in terms of the immune system and social insects. By taking inspiration from distributed cognition, this thesis details the development of novel algorithms for cognitive decision-making and emergent identity in leaderless, homogenous swarms. Artificial homeostasis is provided to a robot through an architecture that combines the cognitive decision-making algorithm with a simple associative memory. This architecture is used to demonstrate how a simple architecture can endow a robot with the capacity to adapt to an unseen environment, and use that information to proactively seek out what it needs from the environment in order to maintain its internal state. iii CONTENTS Abstract iii Table of Contents v List of Figures viii List of Tables xi List of Code Listings xii Acknowledgements xiii Declaration xv 1 introduction 1 1.1 Motivation . -
Computational Linguistics, Cognitive Linguistics, Applied Linguistics
Unit 1 Moisés A. Bittner Phonetics and Phonology Autumn Term Key points Definition of Linguistics Linguistics versus Traditional Grammar Use of studying linguistics Diachronic vs. Synchronic Linguistics Scope of Linguistics 1 Definition of Linguistics Linguistics can be defined as the scientific or systematic study of language. It is a science in the sense that it scientifically studies the rules, systems and principles of human languages. 2 Linguistics is guided by three canons of science 1) Exhaustiveness: it strives for thoroughness in the examination of relevant materials. 2) Consistency: there should be no contradiction between different parts of the total statement. 3) Economy: other things being equal, a shorter statement or analysis is to be preferred to one that is longer or more complex. 3 Linguistics has two main purposes It studies the nature of language and tries to establish a theory of language and describes languages in the light of the theory established. It examines all the forms of language in general and seeks a scientific understanding of the ways in which it is organised to fulfil the needs it serves and the functions it performs in human life. One of the Amarna letters, first discovered in 1887, and written mostly in Akkadian cuneiform, the writing system of ancient Mesopotamia. 4 Linguistics vs. Traditional Grammar: (Descriptivism vs. Prescriptivism) First, linguistics describes languages and does not lay down rules of correctness. Linguists are interested in what is said, not what they think ought to be said. So they are often said to be descriptive, not prescriptive. A second important way in which linguistics differs from traditional grammar is that linguists regard the spoken language as primary, not the written. -
Language Development Language Development
Language Development rom their very first cries, human beings communicate with the world around them. Infants communicate through sounds (crying and cooing) and through body lan- guage (pointing and other gestures). However, sometime between 8 and 18 months Fof age, a major developmental milestone occurs when infants begin to use words to speak. Words are symbolic representations; that is, when a child says “table,” we understand that the word represents the object. Language can be defined as a system of symbols that is used to communicate. Although language is used to communicate with others, we may also talk to ourselves and use words in our thinking. The words we use can influence the way we think about and understand our experiences. After defining some basic aspects of language that we use throughout the chapter, we describe some of the theories that are used to explain the amazing process by which we Language9 A system of understand and produce language. We then look at the brain’s role in processing and pro- symbols that is used to ducing language. After a description of the stages of language development—from a baby’s communicate with others or first cries through the slang used by teenagers—we look at the topic of bilingualism. We in our thinking. examine how learning to speak more than one language affects a child’s language develop- ment and how our educational system is trying to accommodate the increasing number of bilingual children in the classroom. Finally, we end the chapter with information about disorders that can interfere with children’s language development. -
GB-Human Computation Handbook
From Human Computation to the Global Brain: the self-organization of distributed intelligence Francis Heylighen Global Brain Institute Vrije Universiteit Brussel Introduction The present chapter wishes to investigate the wider context of human computation, viewing it as merely one approach within the broad domain of distributed human-computer symbiosis. The multifarious developments in the “social” Internet have shown the great potential of large-scale col- laborative systems that involve both people and the various information and communication technologies (ICT) that process, store and distribute data. Here, I wish to explore this development in the broadest sense, as the self-organization of a distributed intelligence system at the planetary level—a phenomenon that has been called the “global brain”. To get there, I will first define and illustrate the fundamental concept of distributed intelligence. Then I will review how such an intelligent net- work emerges and grows through a combination of self-organization and design. Finally, I will sketch some potential applications of the anticipated global brain. Human-computer complementarity The rationale for human computation is that people have certain intrinsic skills that are difficult to reproduce in computer programs. A computation system that requires those skills must therefore include people as informa- tion-processing agents. Thus, in human computation, people and comput- ers are supposed to work together synergetically, the one complementing the other. The reason for this complementarity lies in the fact that humans and com- puters process information in very different ways. Computers excel at ac- curately storing and retrieving discrete items, such as numbers or strings of characters. -
Modeling Social Learning: an Agent-Based Approach
Old Dominion University ODU Digital Commons Computational Modeling & Simulation Computational Modeling & Simulation Engineering Theses & Dissertations Engineering Fall 2019 Modeling Social Learning: An Agent-Based Approach Erika G. Ardiles Cruz Old Dominion University, [email protected] Follow this and additional works at: https://digitalcommons.odu.edu/msve_etds Part of the Computer Engineering Commons, and the Social Psychology Commons Recommended Citation Ardiles Cruz, Erika G.. "Modeling Social Learning: An Agent-Based Approach" (2019). Doctor of Philosophy (PhD), Dissertation, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25776/ppbs-8751 https://digitalcommons.odu.edu/msve_etds/53 This Dissertation is brought to you for free and open access by the Computational Modeling & Simulation Engineering at ODU Digital Commons. It has been accepted for inclusion in Computational Modeling & Simulation Engineering Theses & Dissertations by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. MODELING SOCIAL LEARNING: AN AGENT-BASED APPROACH by Erika G. Ardiles Cruz B.S. December 1998, Universidad San Antonio Abad A Dissertation Submitted to the Faculty of Old Dominion University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY MODELING AND SIMULATION OLD DOMINION UNIVERSITY December 2019 Approved by: John Sokolowski (Director) Roland Mielke (Member) Bryan Paine (Member) ABSTRACT MODELING SOCIAL LEARNING: AN AGENT-BASED APPROACH Erika G. Ardiles Cruz Old Dominion University, 2019 Director: Dr. John Sokolowski Learning is the process of acquiring or modifying knowledge, behavior, or skills. The ability to learn is inherent to humans, animals, and plants, and even machines are provided with algorithms that could mimic in a restricted way the processes of learning. -
Supported Collaborative Learning at the Workplace
Computer-Supported Collaborative Learning Series Sean P. Goggins Isa Jahnke Volker Wulf Editors Computer- Supported Collaborative Learning at the Workplace CSCL@Work Computer-Supported Collaborative Learning at the Workplace COMPUTER-SUPPORTED COLLABORATIVE LEARNING SERIES Series Editors: Christopher Hoadley, New York University, New York, USA Naomi Miyake, Chukyo University, Aichi, Japan Editorial Board: Michael Baker, CNRS & Université Lumière Lyon, France Carl Bereiter, Ontario Institute for Studies in Education, Canada Yrjö Engeström, University of Helsinki, Finland Gerhard Fischer, University of Colorado, U.S.A. H. Ulrich Hoppe, University of Duisburg-Essen, Germany Timothy Koschmann, Southern Illinois University, U.S.A. Claire O’Malley, University of Nottingham, U.K. Roy Pea, SRI International, U.S.A. Clotilde Pontecorovo, University ‘La Sapienza’, Italy Jeremy Roschelle, SRI International, U.S.A. Daniel Suthers, University of Hawaii, U.S.A. The Computer-Supported Collaborative Learning Book Series is for people working in the CSCL fi eld. The scope of the series extends to ‘collaborative learning’ in its broadest sense; the term is used for situations ranging from two individuals performing a task together, during a short period of time, to groups of 200 students following the same course and interacting via electronic mail. This variety also concerns the computational tools used in learning: elaborated graphical whiteboards support peer interaction, while more rudimentary textbased discussion forums are used for large group interaction. The series will integrate issues related to CSCL such as collaborative problem solving, collaborative learning without computers, negotiation patterns outside collaborative tasks, and many other relevant topics. It will also cover computational issues such as models, algorithms or architectures which support innovative functions relevant to CSCL systems. -
Human Enhancement Technologies and Our Merger with Machines
Human Enhancement and Technologies Our Merger with Machines Human • Woodrow Barfield and Blodgett-Ford Sayoko Enhancement Technologies and Our Merger with Machines Edited by Woodrow Barfield and Sayoko Blodgett-Ford Printed Edition of the Special Issue Published in Philosophies www.mdpi.com/journal/philosophies Human Enhancement Technologies and Our Merger with Machines Human Enhancement Technologies and Our Merger with Machines Editors Woodrow Barfield Sayoko Blodgett-Ford MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin Editors Woodrow Barfield Sayoko Blodgett-Ford Visiting Professor, University of Turin Boston College Law School Affiliate, Whitaker Institute, NUI, Galway USA Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Philosophies (ISSN 2409-9287) (available at: https://www.mdpi.com/journal/philosophies/special issues/human enhancement technologies). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Volume Number, Page Range. ISBN 978-3-0365-0904-4 (Hbk) ISBN 978-3-0365-0905-1 (PDF) Cover image courtesy of N. M. Ford. © 2021 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. -
Concept As the Main Research Object of Cognitive Linguistics
INTERNATIONAL JOURNAL OF ENVIRONMENTAL & SCIENCE EDUCATION 2016, VOL. 11, NO. 10, 3167-3178 OPEN ACCESS Concept as the Main Research Object of Cognitive Linguistics Kunimzhan Sadirkyzy Abdikalyka, Zhanar Altynbekovna Abitzhanovaa, Zhamilya Kerimbaevna Otarbekovaa, Gulyaim Kablakatovna Kaidarovaa, and Gulzhan Abutalipovna Seidullayevab aKazakh State Women’s Training Teacher University, Almaty city, KAZAKHSTAN; bKazGASA, Almaty city, KAZAKHSTAN ABSTRACT This article dwells upon the basic unit of cognitive linguistics, which is a concept. Firstly, we provide an overview of major scientific works written by foreign linguists who pay attention to special aspects and lines of research. Secondly, we analyse conclusions on modern problems in linguistics that are drawn in cognitological studies conducted since the end of the 20th century. We also touch upon the course and practice of cognitive linguistics while considering the connection between cognition and language. In order to study a concept, which is a linguo-philosophical unit of linguistics, we examine the associative and semantic field of the concept “woman” in the Kazakh and English cultures. The linguo-philosophical analysis of the macro concept “blue” and its associative and semantic field in the English and Kazakh languages show that its cultural and personal meaning greatly differ. We prove that conceptual borders of any language display purview, knowledge, feelings, world outlook and life position of the respective ethnos and its distinctive members. KEYWORDS ARTICLE HISTORY Cognition, linguo-philosophical conception, Received 3 May 2016 anthropocentric paradigm, the sphere of cognitology, Revised 13 July 2016 linguistic units, associative field, paradigm, the Accepted 22 July 2016 concept “woman”, the concept “blue”, ethnos. Introduction It is well-known that the study of cognition has been developing from way back. -
An Introduction to Cognitive Grammar
COGNITIVE SCIENCE 10, l-40 (1986) An Introduction to Cognitive Grammar RONALD W. LANGACKER University of California, San Diego Cognitive grammar takes a nonstandard view of linguistic semantics and grammatical structure. Meaning is equated with conceptualization. Semantic structures are characterized relative to cognitive domains, and derive their value by construing the content of these domains in a specific fashion. Gram- mar is not a distinct level of linguistic representation, but reduces instead to the structuring and symbolization of conceptual content. All grammatical units are symbolic: Basic categories (e.g., noun ond verb) are held to be notionally definable, and grammatical rules are analyzed as symbolic units that are both complex ond schematic. These concepts permit a revealing account of gram- maticol composition with notable descriptive advantages. Despite the diversity of contemporary linguistic theory, certain fundamental views enjoy a rough consensus and are widely accepted without serious question. Points of general agreement include the following: (a) language is a self-contained system amenable to algorithmic characterization, with suf- ficient autonomy to be studied in essential isolation from broader cognitive concerns; (b) grammar (syntax in particular) is an independent aspect of lin- guistic structure distinct from both lexicon and semantics; and (c) if mean- ing falls within the purview of linguistic analysis, it is properly described by some type of formal logic based on truth conditions. Individual theorists would doubtlessly qualify their assent in various ways, but (a)-(c) certainly come much closer than their denials to representing majority opinion. What follows is a minority report. Since 1976, I have been developing a linguistic theory that departs quite radically from the assumptions of the currently predominant paradigm.