Cognitive Science: an Introduction to the Study of Mind

Total Page:16

File Type:pdf, Size:1020Kb

Cognitive Science: an Introduction to the Study of Mind FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page i COGNITIVE SCIENCE FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page ii FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page iii COGNITIVE SCIENCE An Introduction to the Study of Mind Jay Friedenberg Manhattan College Gordon Silverman Manhattan College FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page iv Copyright © 2006 by Sage Publications, Inc. All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. For information: Sage Publications, Inc. 2455 Teller Road Thousand Oaks, California 91320 E-mail: [email protected] Sage Publications Ltd. 1 Oliver’s Yard 55 City Road London EC1Y 1SP United Kingdom Sage Publications India Pvt. Ltd. B-42, Panchsheel Enclave Post Box 4109 New Delhi 110 017 India Printed in the United States of America on acid-free paper. Library of Congress Cataloging-in-Publication Data Friedenberg, Jay. Cognitive science : an introduction to the study of mind / Jay Friedenberg, Gordon Silverman. p. cm. Includes bibliographical references and indexes. ISBN 1-4129-2568-1 (pbk.) 1. Cognitive science—Textbooks. I. Silverman, Gordon. II. Title. BF311.F743 2006 153—dc22 2005009522 050607080910987654321 Acquiring Editor: Jim Brace-Thompson Associate Editor: Margo Beth Crouppen Production Editor: Sanford Robinson Editorial Assistant: Karen Ehrmann Typesetter: C&M Digitals (P) Ltd. Indexer: Jeanne Busemeyer Cover Designer: Janet Foulger FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page v Contents Preface xv Acknowledgments xxiii 1. Introduction: Exploring Inner Space 1 A Brave New World 1 What Is Cognitive Science? 2 Representation 3 Digital Representations 6 Analog Representations 7 The Dual-Coding Hypothesis 7 Propositional Representations 8 Computation 9 The Tri-Level Hypothesis 10 The Classical and Connectionist Views of Computation 12 The Interdisciplinary Perspective 12 The Philosophical Approach 15 The Psychological Approach 16 The Cognitive Approach 17 The Neuroscience Approach 18 The Network Approach 18 The Evolutionary Approach 19 The Linguistic Approach 20 The Artificial Intelligence Approach 20 The Robotics Approach 21 In Depth: Categories of Mental Representation 22 Minds On Exercise: Analogical Reasoning 24 FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page vi 2. The Philosophical Approach: Enduring Questions 29 What Is Philosophy? 29 The Mind-Body Problem 30 Flavors of Monism 33 Flavors of Dualism 34 Evaluating the Dualist Perspective 36 Functionalism 38 Evaluating the Functionalist Perspective 40 The Free Will–Determinism Debate 41 The Issue of Determinism 41 The Issue of Free Will 43 Evaluating the Free Will–Determinism Debate 44 The Knowledge Acquisition Problem 45 Evaluating the Knowledge Acquistion Debate 47 The Mystery of Consciousness 49 The What-It’s-Like Argument 50 Mind as an Emergent Property 52 Evaluating the Emergent View of Mind 53 Consciousness and Neuroscience 54 Consciousness and Artificial Intelligence 56 Overall Evaluation of the Philosophical Approach 59 In Depth: Dennett’s Multiple Drafts Theory of Consciousness 60 Minds On Exercise: Decision Making 63 3. The Psychological Approach: A Profusion of Theories 65 What Is Psychology? 65 Psychology and the Scientific Method 67 Mental Atoms, Mental Molecules, and a Periodic Table of the Mind: The Voluntarist Movement 68 Evaluating the Voluntarist Approach 71 Structuralism: What the Mind Is 72 Evaluating the Structuralist Approach 73 Functionalism: What the Mind Does 74 Evaluating the Functionalist Approach 76 The Whole Is Greater Than the Sum of Its Parts: Mental Physics and the Gestalt Movement 77 Evaluating the Gestalt Approach 81 Mini-Minds: Mechanism and Psychoanalytic Psychology 82 Evaluating the Psychoanalytic Approach 84 Mind as a Black Box: The Behaviorist Approach 85 Evaluating the Behaviorist Approach 87 FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page vii Overall Evaluation of the Psychological Approach 88 In Depth: Insight Learning 89 Minds On Exercise: Introspection 91 4. The Cognitive Approach I: History, Vision, and Attention 95 Some History First: The Rise of Cognitive Psychology 95 The Cognitive Approach: Mind as an Information Processor 97 Modularity of Mind 98 Evaluating the Modular Approach 99 Theories of Vision and Pattern Recognition 100 Template Matching Theory 100 Evaluating Template Matching Theory 101 Feature Detection Theory 103 Evaluating Feature Detection Theory 103 A Computational Theory of Vision 105 Evaluating the Computational Theory of Pattern Recognition 106 Feature Integration Theory 108 Evaluating Feature Integration Theory 111 Theories of Attention 112 Broadbent’s Filter Model 113 Evaluating the Filter Model 115 Treisman’s Attenuation Model 115 The Deutsch-Norman Memory Selection Model 116 The Multimode Model of Attention 116 Kahneman’s Capacity Model of Attention 117 Evaluating the Capacity Model of Attention 119 Evaluating the Model-Building Approach 119 In Depth: Biederman’s Recognition-by-Components Theory of Pattern Recognition 120 Minds On Exercise: Silhouettes and Object Constancy 122 5. The Cognitive Approach II: Memory, Imagery, and Problem Solving 125 Types of Memory 125 Sensory Memory 126 Working Memory 127 Long-Term Memory 131 Memory Models 133 The Modal Model 134 Evaluating the Modal Model 135 FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page viii The ACT* Model 135 Evaluating the ACT* Model 137 The Working Memory Model 137 Evaluating the Working Memory Model 139 Visual Imagery 139 The Kosslyn and Schwartz Theory of Visual Imagery 140 Image Structures 141 Image Processes 142 Evaluating the Kosslyn and Schwartz Theory 146 The Imagery Debate 147 Problem Solving 149 The General Problem Solver Model 153 Evaluating the General Problem Solver Model 154 The SOAR Model 155 Evaluating the SOAR Model 156 Overall Evaluation of the Cognitive Approach 158 In Depth: Search in Working Memory 159 Minds On Exercise: Memory Effects 161 6. The Neuroscience Approach: Mind As Brain 163 The Neuroscience Perspective 163 Methodology in Neuroscience 164 Techniques for the Study of Brain Damage 164 Evaluating Techniques for the Study of Brain Damage 165 Brain Recording Techniques 166 Computerized Axial Tomography (CAT) 167 Positron Emission Tomography (PET) 167 Magnetic Resonance Imaging (MRI) 168 The Electrical Stimulation Technique 169 The Small Picture: Neuron Anatomy and Physiology 170 The Big Picture: Brain Anatomy 170 Directions in the Nervous System 172 The Cortex 173 The Split Brain 174 The Neuroscience of Visual Object Recognition 175 Visual Agnosias 176 Apperceptive Agnosia 177 Associative Agnosia 178 Face Perception 180 FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page ix The Neuroscience of Attention 181 Models of Attention 185 A Component Process Model 185 Distributed Network Models 186 The Neuroscience of Memory 187 Learning and Memory 188 The Hippocampal System 198 Models of Hippocampal Function 190 Neural Substrates of Working Memory 192 Evaluating the Neuroscience of Working Memory 195 Neural Substrates of Long-Term Memories 195 The Neuroscience of Executive Function and Problem Solving 197 Theories of Executive Function 199 Overall Evaluation of the Neuroscience Approach 201 In Depth: Binding and Neural Synchrony 202 Minds On Exercise: Neural Functions 203 7. Outline: The Network Approach: Mind as a Web 207 The Network Perspective 207 Principles Underlying Artificial Neural Networks 208 Characteristics of Artificial Neural Networks 210 Early Conceptions of Neural Networks 212 Back Propagation and Convergent Dynamics 215 Artificial Neural Network Typologies 219 Evaluating the Connectionist Approach 221 Advantages 221 Problems and Disadvantages 222 Semantic Networks: Meaning in the Web 224 Characteristics of Semantic Networks 225 A Hierarchical Semantic Network 226 Evaluating the Hierarchical Model 228 Propositional Semantic Networks 230 Evaluating Semantic Networks 231 Overall Evaluation of the Network Approach 233 In Depth: NETtalk 234 Minds On Exercise: Free Association 236 8. The Evolutionary Approach: Change Over Time 239 The Evolutionary View 239 Evolutionary Psychology 240 A Little Background: Selection 241 FM-Friedenberg-4747.qxd 8/22/2005 10:17 AM Page x Evolved Psychological Mechanisms 244 Evolution and Cognitive Processes 247 Categorization 247 Memory 248 Logical Reasoning 250 Judgment Under Uncertainty 253 Language 256 Sex Differences in Cognition 257 Evolutionary Computing 261 Artificial Life 263 Neural Darwinism 265 Evaluating Evolutionary Psychology 266 Overall Evaluation of the Evolutionary Approach 269 In Depth: A Stage Theory of Evolution 270 Minds On Exercise: Memory for Object Location 272 9. The Linguistic Approach: Language and Cognitive Science 275 The Linguistic Approach: The Importance of Language 275 The Nature of Language 276 Language Use in Primates 278 Evaluating Language Use in Primates 280 Language Acquisition 282 Evaluating Language Acquisition 284 Language Deprivation 284 Evaluating Language Deprivation 287 Philosophy and Linguistics: The Linguistic Relativity Hypothesis 288 Evaluating the Linguistic Relativity Hypothesis 290 Cognition and Linguistics: The Role of Grammar 291 Evaluating Universal Grammar 294 Neuroscience and Linguistics: The Wernicke-Geschwind Model 294 Evaluating the Wernicke-Geschwind Model 297 Artificial Intelligence and Linguistics: Natural Language Processing 298 Speech Recognition 299 Syntactic Analysis
Recommended publications
  • JTE-2010-Netzer
    Journal of Transformative Education http://jtd.sagepub.com/ Inquiry into Creative and Innovative Processes: An Experiential, Whole-Person Approach to Teaching Creativity Dorit Netzer and Nancy Mangano Rowe Journal of Transformative Education 2010 8: 124 DOI: 10.1177/1541344611406905 The online version of this article can be found at: http://jtd.sagepub.com/content/8/2/124 Published by: http://www.sagepublications.com Additional services and information for Journal of Transformative Education can be found at: Email Alerts: http://jtd.sagepub.com/cgi/alerts Subscriptions: http://jtd.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav Permissions: http://www.sagepub.com/journalsPermissions.nav Citations: http://jtd.sagepub.com/content/8/2/124.refs.html Downloaded from jtd.sagepub.com at INST OF TRANSPERSONAL PSYCH on June 30, 2011 Journal of Transformative Education 8(2) 124-145 ª The Author(s) 2010 Inquiry into Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/1541344611406905 Creative and http://jted.sagepub.com Innovative Processes: An Experiential, Whole-Person Approach to Teaching Creativity Dorit Netzer1 and Nancy Mangano Rowe1 Abstract This article highlights the transformative nature of an online master’s level course titled, Inquiry into Creative and Innovative Processes. The authors emphasize the importance of whole-person, imaginative, and intuitive experiences in adult stu- dents’ unique, scholarly development. They describe their process of adapting intuitive inquiry,atranspersonalresearchmethod,as a supportive structure for this online course on creativity. A creative and innovative approach to teaching in itself, the course facilitated a flexible learningcontainer,wherestudentswereguided toward integrating their academic learning and personal discovery in embodied and deeply conscious ways.
    [Show full text]
  • A Philosophical Investigation of Principlism and the Implications Raised by the Treatment of the Mentally Ill
    Aporia vol. 24 no. 1—2014 A Philosophical Investigation of Principlism and the Implications Raised by the Treatment of the Mentally Ill BENJAMIN FOSTER Introduction he objective of this investigation is to identify reasonable and relevant problems and issues posed for Principlism by the mentally T ill. Two concepts of Principlism will be presented: a normative con- ceptualization of the bioethical theory and a descriptive conceptualization. In reference to both, two philosophical questions will be asked: can we know the natures of other minds and, if so, how? These two questions have theoretical and practical implications for the treatment of the mentally ill. And, in so far as the questions have implications for the treatment of the mentally ill, they have implications for the bioethical theory of Principlism. There is a lack of concurrence on the meaning, nature, and function of mental phenomena, producing conceptual difficulties concerning the common morality that provides Principlism its normative authority. Similarly, a contradiction appears to arise when one considers the imaginative leap of predicting another’s desires, feelings, and thoughts, a maneuver that professionals participating in the treatment of the mentally ill must perform. There is also significant ambiguity surrounding the concept of mental illness, which produces pragmatic problems when professionals attempt to diagnose and treat an individual in conjunction Benjamin Foster graduated with a degree in philosophy and a minor in biology from the University of Alaska Fairbanks. While there he served as president of the univer- sity’s philosophy club, The Socratic Society. His primary philosophical interests include ethics and epistemology. He currently plans to attend medical school.
    [Show full text]
  • Cognitive Science 1
    Cognitive Science 1 • Linguistics, Minor (https://e-catalogue.jhu.edu/arts-sciences/full- COGNITIVE SCIENCE time-residential-programs/degree-programs/cognitive-science/ linguistics-minor/) http://www.cogsci.jhu.edu For current course information and registration go to https://sis.jhu.edu/ Cognitive science is the study of the human mind and brain, focusing on classes/ how the mind represents and manipulates knowledge and how mental representations and processes are realized in the brain. Conceiving of the mind as an abstract computing device instantiated in the brain, Courses cognitive scientists endeavor to understand the mental computations AS.050.102. Language and Mind. 3 Credits. underlying cognitive functioning and how these computations are Introductory course dealing with theory, methods, and current research implemented by neural tissue. Cognitive science has emerged at the topics in the study of language as a component of the mind. What it is interface of several disciplines. Central among these are cognitive to "know" a language: components of linguistic knowledge (phonetics, psychology, linguistics, and portions of computer science and artificial phonology, morphology, syntax, semantics) and the course of language intelligence; other important components derive from work in the acquisition. How linguistic knowledge is put to use: language and the neurosciences, philosophy, and anthropology. This diverse ancestry brain and linguistic processing in various domains. has brought into cognitive science several different perspectives and Area: Natural Sciences, Social and Behavioral Sciences methodologies. Cognitive scientists endeavor to unite such varieties AS.050.105. Introduction to Cognitive Neuropsychology. 3 Credits. of perspectives around the central goal of characterizing the structure When the brain is damaged or fails to develop normally, even the most of human intellectual functioning.
    [Show full text]
  • Literature and the Cognitive Revolution: an Introduction
    Literature and the Cognitive Revolution: An Introduction Alan Richardson English, Boston College Francis F. Steen Communication Studies, UCLA Literary studies and the cognitive sciences, pursuing common interests in language, mental acts, and linguistic artifacts, have developed markedly different approaches to similar phenomena of reading, imaginative involve- ment, and textual patterning. Until quite recently, the distance between them has drawn more attention than their possible convergence (Franchi and Güzeldere ). A number of literary theorists and critics, however, have steadily been producing work that finds its inspiration, its method- ology, and its guiding paradigms through a dialogue with one or more fields within cognitive science: artificial intelligence, cognitive psychology, post- Chomskian linguistics, philosophy of mind, neuroscience, and evolution- ary biology. Reuven Tsur () has been developing his ‘‘cognitive poet- ics’’ since the s; the prominent psychoanalytic critic Norman Holland (: ) demonstrated the advantages of attending to the ‘‘more powerful psychology’’ emerging from cognitive neuroscience in ; Mark Turner (: viii) advanced his far-reaching project of a ‘‘cognitive rhetoric’’ in ; and Ellen Spolsky (: ) trenchantly brought a theory of ‘‘cogni- tive instability’’ to bear on literary interpretation in . These and like- minded critics respond to the limitations (or, in Spolsky’s case, missed op- portunities) of poststructuralist conceptions of meaning and interpretation by questioning the reigning models in the field, whether in the interest of Poetics Today : (Spring ). Copyright © by the Porter Institute for Poetics and Semiotics. Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/23/1/1/458295/01.pdf by guest on 25 September 2021 2 Poetics Today 23:1 displacing, reworking, supplementing, or fundamentally regrounding them (Hart ).
    [Show full text]
  • Barriers to Creativity in Engineering Education: a Study of Instructors and Students Perceptions
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/245366675 Barriers to Creativity in Engineering Education: A Study of Instructors and Students Perceptions Article in Journal of Mechanical Design · July 2007 DOI: 10.1115/1.2739569 CITATIONS READS 158 2,294 2 authors, including: Kazem Kazerounian University of Connecticut 69 PUBLICATIONS 938 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Systematic Design and Analysis of Artificial Molecular Machines View project All content following this page was uploaded by Kazem Kazerounian on 21 September 2015. The user has requested enhancement of the downloaded file. Barriers to Creativity in Engineering Education: A Study of Instructors and Students Kazem Kazerounian Professor Fellow ASME Perceptions Stephany Foley This paper studies “creativity” in engineering education, by examining the perception of NSF Graduate Fellow instructors and students. We aim to identify factors that impede a creative environment (creativity blockers). The study entails a review of established research in the fields of Department of Mechanical Engineering, psychology and educational psychology to identify factors which create an educational University of Connecticut, environment conducive to creativity. These factors are formalized in the Ten Maxims of Storrs, CT 06269-3139 Creativity in Education, a set of criteria that constitute an educational environment conducive to fostering creativity in students. These maxims form the basis for our work in examining the contemporary engineering education. Extensive surveys are designed, cre- ated, distributed, and statistically quantified to study the perceptions of engineering edu- cators and students, in comparison to nonengineering educators and students.
    [Show full text]
  • Concepts As Correlates of Lexical Labels. a Cognitivist Perspective
    This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 Sławomir Wacewicz Concepts as Correlates of Lexical Labels. A Cognitivist Perspective. This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 CONTENTS Introduction………………………………………………………………... 6 PART I INTERNALISTIC PERSPECTIVE ON LANGUAGE IN COGNITIVE SCIENCE Preliminary remarks………………………………………………………… 17 1. History and profile of Cognitive Science……………………………….. 18 1.1. Introduction…………………………………………………………. 18 1.2. Cognitive Science: definitions and basic assumptions ……………. 19 1.3. Basic tenets of Cognitive 22 Science…………………………………… 1.3.1. Cognition……………………………………………………... 23 1.3.2. Representationism and presentationism…………………….... 25 1.3.3. Naturalism and physical character of mind…………………... 28 1.3.4. Levels of description…………………………………………. 30 1.3.5. Internalism (Individualism) ………………………………….. 31 1.4. History……………………………………………………………... 34 1.4.1. Prehistory…………………………………………………….. 35 1.4.2. Germination…………………………………………………... 36 1.4.3. Beginnings……………………………………………………. 37 1.4.4. Early and classical Cognitive Science………………………… 40 1.4.5. Contemporary Cognitive Science……………………………... 42 1.4.6. Methodological notes on interdisciplinarity………………….. 52 1.5. Summary…………………………………………………………. 59 2. Intrasystemic and extrasystemic principles of concept individuation 60 2.1. Existential status of concepts ……………………………………… 60 2 This is a submitted manuscript version. The publisher should be contacted for permission to re-use or reprint the material in any form. Final published version, copyright Peter Lang: https://doi.org/10.3726/978-3-653-05287-9 2.1.1.
    [Show full text]
  • Cognitive and Neuroscience Research on Learning And
    The 11th International Conference on Education Research New Educational Paradigm for Learning and Instruction September 29 – October 1, 2010 Cognitive and Neuroscience Research on Learning and Instruction: Recent insights about the impact of non-conscious knowledge on problem solving, higher order thinking skills 12 and interactive cyber-learning environments. Richard E. Clark University of Southern California, USA Abstract There are as least three powerful insights from recent studies of the brain that support cognitive science research findings: First, our brains learn and process two very different types of knowledge; non conscious, automated knowledge and conscious, controllable, declarative knowledge. Evidence also suggests that we believe we control our own learning by conscious choice when in fact nearly all mental operations are highly automated, including learning and problem solving; Second, human beings have a very limited capacity to think during learning and problem solving and when that capacity is exceeded, thinking and learning stop without us being aware. Thus instruction and self managed learning must strive to avoid cognitive overload; and Third, nearly all of our instructional design and cyber learning theories and models fail to account for the influence of non-conscious cognitive processes and therefore are inadequate to deal with complex learning and performance. Evidence for these points will be described and their implications for instruction and the learning of problem solving and higher order thinking skills will be discussed. Models of learning and instruction that appear to help overcome some of these biological and cognitive barriers will be described. In addition, suggestions for new research questions on interactive learning environments that take account of the three insights will also be described.
    [Show full text]
  • Reliability in Cognitive Neuroscience: a Meta-Meta-Analysis Books Written by William R
    Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis Books Written by William R. Uttal Real Time Computers: Techniques and Applications in the Psychological Sciences Generative Computer Assisted Instruction (with Miriam Rogers, Ramelle Hieronymus, and Timothy Pasich) Sensory Coding: Selected Readings (Editor) The Psychobiology of Sensory Coding Cellular Neurophysiology and Integration: An Interpretive Introduction. An Autocorrelation Theory of Form Detection The Psychobiology of Mind A Taxonomy of Visual Processes Visual Form Detection in 3-Dimensional Space Foundations of Psychobiology (with Daniel N. Robinson) The Detection of Nonplanar Surfaces in Visual Space The Perception of Dotted Forms On Seeing Forms The Swimmer: An Integrated Computational Model of a Perceptual-Motor System (with Gary Bradshaw, Sriram Dayanand, Robb Lovell, Thomas Shepherd, Ramakrishna Kakarala, Kurt Skifsted, and Greg Tupper) Toward A New Behaviorism: The Case against Perceptual Reductionism Computational Modeling of Vision: The Role of Combination (with Ramakrishna Kakarala, Sriram Dayanand, Thomas Shepherd, Jaggi Kalki, Charles Lunskis Jr., and Ning Liu) The War between Mentalism and Behaviorism: On the Accessibility of Mental Processes The New Phrenology: On the Localization of Cognitive Processes in the Brain A Behaviorist Looks at Form Recognition Psychomyths: Sources of Artifacts and Misrepresentations in Scientifi c Cognitive neuroscience Dualism: The Original Sin of Cognitivism Neural Theories of Mind: Why the Mind-Brain Problem May Never Be Solved Human Factors in the Courtroom: Mythology versus Science The Immeasurable Mind: The Real Science of Psychology Time, Space, and Number in Physics and Psychology Distributed Neural Systems: Beyond the New Phrenology Neuroscience in the Courtroom: What Every Lawyer Should Know about the Mind and the Brain Mind and Brain: A Critical Appraisal of Cognitive Neuroscience Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis William R.
    [Show full text]
  • The Science of Psychology 1
    PSY_C01.qxd 1/2/05 3:17 pm Page 2 The Science of Psychology 1 CHAPTER OUTLINE LEARNING OBJECTIVES INTRODUCTION PINNING DOWN PSYCHOLOGY PSYCHOLOGY AND COMMON SENSE: THE GRANDMOTHER CHALLENGE Putting common sense to the test Explaining human behaviour THE BEGINNINGS OF MODERN PSYCHOLOGY Philosophical influences Physiological influences PSYCHOLOGY TODAY Structuralism: mental chemistry Functionalism: mental accomplishment Behaviourism: a totally objective psychology Gestalt psychology: making connections Out of school: the independents The cognitive revolution FINAL THOUGHTS SUMMARY REVISION QUESTIONS FURTHER READING PSY_C01.qxd 1/2/05 3:17 pm Page 3 Learning Objectives By the end of this chapter you should appreciate that: n psychology is much more than ‘common sense’; n psychological knowledge can be usefully applied in many different professions and walks of life; n psychology emerged as a distinct discipline around 150 years ago, from its roots in physiology, physics and philosophy; n there are fundamental differences between different schools of thought in psychology; n psychology is the science of mental life and behaviour, and different schools of thought within psychology place differing degrees of emphasis on understanding these different elements of psychology; n most academic departments in the English-speaking world focus on the teaching of experimental psychology, in which scientific evidence about the structure and function of the mind and behaviour accumulates through the execution of empirical investigations; n in the history of psychology many different metaphors have been used for thinking about the workings of the human mind, and since the Second World War the most influential of these metaphors has been another complex information-processing device – the computer.
    [Show full text]
  • Anthropology's Disenchantment with the Cognitive Revolution
    Topics in Cognitive Science 4 (2012) 354–361 Copyright Ó 2012 Cognitive Science Society, Inc. All rights reserved. ISSN: 1756-8757 print / 1756-8765 online DOI: 10.1111/j.1756-8765.2012.01199.x Anthropology’s Disenchantment With the Cognitive Revolution1 Richard A. Shweder Department of Comparative Human Development, University of Chicago Received 25 June 2011; received in revised form 3 November 2011; accepted 28 November 2011 Abstract Beller, Bender, and Medin should be congratulated for their generous attempt at expressive aca- demic therapy for troubled interdisciplinary relationships. In this essay, I suggest that a negative answer to the central question (‘‘Should anthropology be part of cognitive science?’’) is not necessar- ily distressing, that in retrospect the breakup seems fairly predictable, and that disenchantment with the cognitive revolution is nothing new. Keywords: Cognitive revolution; Behaviorism; Anthropology; Jerome Bruner; Roy D’Andrade; Clifford Geertz; Roger Shepard Some of the leaders of the cognitive revolution of the late 1950s and 1960s began parting from the cause almost as soon as it triumphed. Jerome Bruner, for example, who always enjoyed writing essays for both the left hand and the right hand, turned to hermeneutics, the study of law, and the interpretation of narratives (see Bruner, 1979, 1990). Even in the early days of the rebellion Bruner was attentive to language pragmatics, which may be one reason he named his 1960s big tent interdisciplinary center at Harvard University the ‘‘Center for Cognitive Studies’’ and not the ‘‘Center for Cognitive Science.’’ Bruner had just as much interest in the humanistic writings of E. H. Gombrich, Nelson Goodman, and Clifford Ge- ertz as in the latest claims about basic ⁄fundamental⁄universal cognitive processes coming out of experimental labs situated in Cambridge, London, or Geneva.
    [Show full text]
  • The Place of Modeling in Cognitive Science
    The place of modeling in cognitive science James L. McClelland Department of Psychology and Center for Mind, Brain, and Computation Stanford University James L. McClelland Department of Psychology Stanford University Stanford, CA 94305 650-736-4278 (v) / 650-725-5699 (f) [email protected] Running Head: Modeling in cognitive science Keywords: Modeling frameworks, computer simulation, connectionist models, Bayesian approaches, dynamical systems, symbolic models of cognition, hybrid models, cognitive architectures Abstract I consider the role of cognitive modeling in cognitive science. Modeling, and the computers that enable it, are central to the field, but the role of modeling is often misunderstood. Models are not intended to capture fully the processes they attempt to elucidate. Rather, they are explorations of ideas about the nature of cognitive processes. As explorations, simplification is essential – it is only through simplification that we can fully understand the implications of the ideas. This is not to say that simplification has no downsides; it does, and these are discussed. I then consider several contemporary frameworks for cognitive modeling, stressing the idea that each framework is useful in its own particular ways. Increases in computer power (by a factor of about 4 million) since 1958 have enabled new modeling paradigms to emerge, but these also depend on new ways of thinking. Will new paradigms emerge again with the next 1,000-fold increase? 1. Introduction With the inauguration of a new journal for cognitive science, thirty years after the first meeting of the Cognitive Science Society, it seems essential to consider the role of computational modeling in our discipline.
    [Show full text]
  • Challenging Conventional Wisdom: Development Implications of Trade in Services Liberalization
    UNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENT TRADE, POVERTY AND CROSS-CUTTING DEVELOPMENT ISSUES STUDY SERIES NO. 2 Challenging Conventional Wisdom: Development Implications of Trade in Services Liberalization Luis Abugattas Majluf and Simonetta Zarrilli Division on International Trade in Goods and Services, and Commodities UNCTAD UNITED NATIONS New York and Geneva, 2007 NOTE Luis Abugattas Majluf and Simonetta Zarrilli are staff members of the Division on International Trade in Goods and Services, and Commodities of the UNCTAD secretariat. Part of this study draws on policy-relevant research undertaken at UNCTAD on the assessment of trade in services liberalization and its development implications. The views expressed in this study are those of the authors and do not necessarily reflect the views of the United Nations. The designations employed and the presentation of the material do not imply the expression of any opinion whatsoever on the part of the United Nations Secretariat concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. Material in this publication may be freely quoted or reprinted, but acknowledgement is requested, together with a reference to the document number. It would be appreciated if a copy of the publication containing the quotation or reprint were sent to the UNCTAD secretariat: Chief Trade Analysis Branch Division on International Trade in Goods and Services, and Commodities United Nations Conference on Trade and Development Palais des Nations CH-1211 Geneva Series Editor: Khalilur Rahman Chief, Trade Analysis Branch DITC/UNCTAD UNCTAD/DITC/TAB/POV/2006/1 UNITED NATIONS PUBLICATION ISSN 1815-7742 © Copyright United Nations 2007 All rights reserved ii ABSTRACT The implications of trade in services liberalization on poverty alleviation, on welfare and on the overall development prospects of developing countries remain at the hearth of the debate on the interlinkages between trade and development.
    [Show full text]