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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. -
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. -
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. -
Author: Edwin Hutchins Title: Cognitive Ecology Affiliation: Department of Cognitive Science, University of California San Dieg
Author: Edwin Hutchins Title: Cognitive Ecology Affiliation: Department of Cognitive Science, University of California San Diego Tel: 858 534-1134 Fax: 858 822-2476 email: [email protected] Running Head: Cognitive Ecology Abstract: Cognitive ecology is the study of cognitive phenomena in context. In particular, it points to the web of mutual dependence among the elements of a cognitive ecosystem. At least three fields were taking a deeply ecological approach to cognition thirty years ago: Gibson’s ecological psychology, Bateson’s ecology of mind, and Soviet cultural-historical activity theory. The ideas developed in those projects have now found a place in modern views of embodied, situated, distributed cognition. As cognitive theory continues to shift from units of analysis defined by inherent properties of the elements to units defined in terms of dynamic patterns of correlation across elements, the study of cognitive ecosystems will become an increasingly important part of cognitive science. Keywords: units of analysis for cognition, ecological psychology, ecology of mind, activity theory, embodied cognition, situated cognition, distributed cognition, brain-body-world systems, human culture. Cognitive Ecology Choosing units of analysis for cognition Cognitive ecology is the study of cognitive phenomena in context. Elements of cognitive ecology have been present in various corners, but not the core, of cognitive science since the birth of the field. It is now being rediscovered as cognitive science shifts from viewing cognition as a logical process to seeing it as a biological phenomenon. Everything is connected to everything else. Fortunately, not all connectivity is equally dense. The non- uniformity of connectivity makes science possible. -
Version 2.2 Structured Psychosocial Stress and Therapeutic Intervention: Toward a Realistic Biological Medicine
Version 2.2 Structured Psychosocial Stress and Therapeutic Intervention: Toward a Realistic Biological Medicine Rodrick Wallace, Ph.D. The New York State Psychiatric Institute ∗ June 5, 2003 Abstract Using generalized ‘language of thought’ arguments appropriate to interacting cognitive modules, we explore how disease states can inter- act with medical treatment, including, but not limited to, drug ther- apy. The feedback between treatment and response creates a kind of idiotypic ‘hall of mirrors’ generating a pattern of ‘efficacy’, ‘treatment failure’, and ‘adverse reactions’ which will, from a Rate Distortion per- spective, embody a distorted image of externally-imposed structured psychosocial stress. This analysis, unlike current pharmacogenetics, does not either reify ‘race’ or blame the victim by using genetic struc- ture to place the locus-of-control within a group or individual. Rather, it suggests that a comparatively simple series of questions to identify longitudinal and cross-sectional stressors may provide more effective guidance for specification of individual medical therapy than compli- cated genotyping strategies of dubious meaning. These latter are likely ∗Address correspondence to R. Wallace, PISCS Inc., 549 W. 123 St., Suite 16F, New York, NY, 10027. Telephone (212) 865-4766, [email protected]. Affiliation is for identification only. This material has been submitted for publication and is protected by copyright. 1 to be both very expensive and utterly blind to the impact of struc- tured psychosocial stress – a euphemism -
The Rising Field of Bioinformatics
Serena Hughes Case Study Spring 2019 The Rising Field of Bioinformatics Overview. Bioinformatics is an up-and-coming field within the intersection of biology and computer science. Biology and computer science were initially thought of separately, but with technological advances it soon became clear that there was an overlap where computer science algorithms could be used to further biological discoveries and biological systems could be used as a basis for computational models. The growth of research combining the two has led to the recent growth of the field of bioinformatics. Currently, bioinformatics is still relatively small, often housed as a specialization of biology, computer science, or other departments at universities. In 2009, only approximately 17% of bioinformatics programs were part of a bioinformatics department, with most programs being housed under biology or biomedical departments.[7] While it has been ten years since this data was collected, even in 2018 U.S. News’ ranking of bioinformatics programs included only 6 schools total.[11] Bioinformatics is a small and growing field, so the importance of the organization of bioinformatics is also growing. What is Being Organized? Bioinformatics has become increasingly interdisciplinary as it has grown, building on other scientific and mathematical fields. These subfields and the types of research they enable are the resources being organized. In organizing these resources, we will shed light on the structure of the field of bioinformatics as a whole. Why is it Being Organized? The term “bioinformatics” has been in use since the 1970s. Around that time, bioinformatics was “defined as the study of informatic processes in biotic systems”. -
Research on the Strategy of E-Commerce Teaching Reform Based on Brain Cognition
KURAM VE UYGULAMADA EĞİTİM BİLİMLERİ EDUCATIONAL SCIENCES: THEORY & PRACTICE Received: November 2, 2017 Revision received: April 12, 2018 Copyright © 2018 EDAM Accepted: April 23, 2018 www.estp.com.tr DOI 10.12738/estp.2018.5.063 ⬧ October 2018 ⬧ 18(5) ⬧ 1637-1646 Research Article Research on the Strategy of E-commerce Teaching Reform Based on Brain Cognition 1 2 Ronggang Zhang Xiaheng Zhang Northwest University of Political Northwest University of Political Science and Law Science and Law Abstract The rapid development of brain science and cognitive science and the demand of education and teaching reform urge the development of brain-based education movement. With e-commerce teaching reform strategy as the research target, and literature analysis method, case teaching method and questionnaire as research methods, this paper constructs the teaching design pattern based on brain cognition of the course of Introduction to E- Commerce on the basis of the detailed analysis of teaching principle based on brain, teaching theory related to brain and theories related to teaching design, taking the course of Introduction to E-Commerce in colleges and universities as an example. The investigation and analysis of the course implementation and teaching effect verify that the teaching design pattern of e-commerce course based on brain cognition can promote students' interest in learning and knowledge mastery, providing a new teaching mode to be referred for e-commerce teaching reform. Keywords Brain Science • E-commerce Teaching • Teaching Elements • Teaching Design _______________________________________________ 1 Correspondence to: Ronggang Zhang (PhD), Business School, Northwest University of Political Science and Law, Xi’an710122, China. Email: [email protected] 2 Business School, Northwest University of Political Science and Law, Xi’an710122, China. -
The Cognitive Revolution: a Historical Perspective
Review TRENDS in Cognitive Sciences Vol.7 No.3 March 2003 141 The cognitive revolution: a historical perspective George A. Miller Department of Psychology, Princeton University, 1-S-5 Green Hall, Princeton, NJ 08544, USA Cognitive science is a child of the 1950s, the product of the time I went to graduate school at Harvard in the early a time when psychology, anthropology and linguistics 1940s the transformation was complete. I was educated to were redefining themselves and computer science and study behavior and I learned to translate my ideas into the neuroscience as disciplines were coming into existence. new jargon of behaviorism. As I was most interested in Psychology could not participate in the cognitive speech and hearing, the translation sometimes became revolution until it had freed itself from behaviorism, tricky. But one’s reputation as a scientist could depend on thus restoring cognition to scientific respectability. By how well the trick was played. then, it was becoming clear in several disciplines that In 1951, I published Language and Communication [1], the solution to some of their problems depended cru- a book that grew out of four years of teaching a course at cially on solving problems traditionally allocated to Harvard entitled ‘The Psychology of Language’. In the other disciplines. Collaboration was called for: this is a preface, I wrote: ‘The bias is behavioristic – not fanatically personal account of how it came about. behavioristic, but certainly tainted by a preference. There does not seem to be a more scientific kind of bias, or, if there is, it turns out to be behaviorism after all.’ As I read that Anybody can make history. -
Munin: a Peer-To-Peer Middleware for Ubiquitous Analytics and Visualization Spaces
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. XX, NO. Y, MONTH 2014 1 Munin: A Peer-to-Peer Middleware for Ubiquitous Analytics and Visualization Spaces Sriram Karthik Badam, Student Member, IEEE, Eli Fisher, and Niklas Elmqvist, Senior Member, IEEE Abstract—We present Munin, a software framework for building ubiquitous analytics environments consisting of multiple input and output surfaces, such as tabletop displays, wall-mounted displays, and mobile devices. Munin utilizes a service-based model where each device provides one or more dynamically loaded services for input, display, or computation. Using a peer-to-peer model for communication, it leverages IP multicast to replicate the shared state among the peers. Input is handled through a shared event channel that lets input and output devices be fully decoupled. It also provides a data-driven scene graph to delegate rendering to peers, thus creating a robust, fault-tolerant, decentralized system. In this paper, we describe Munin’s general design and architecture, provide several examples of how we are using the framework for ubiquitous analytics and visualization, and present a case study on building a Munin assembly for multidimensional visualization. We also present performance results and anecdotal user feedback for the framework that suggests that combining a service-oriented, data-driven model with middleware support for data sharing and event handling eases the design and execution of high performance distributed visualizations. Index Terms—Ubiquitous analytics, high-resolution displays, multi-display environments, distributed visualization, framework. F 1 INTRODUCTION peers can subscribe and publish, as well as a shared ISUALIZATION has long relied on computing devices event channel where peers can produce and consume V equipped with mice, keyboards and monitors for real-time events for input and coordination. -
Stevan Harnad 10 the Open Research
Stevan Harnad To appear in: In: Jacobs, N., Eds. Open Access: Key Strategic, Technical and Economic Aspects. Chandos. Note, final versions of figures and captions still to come, but their content and positions will be as shown here. The reference list will also be pruned, to cite or remove uncited works The Open Research Web: A Preview of the Optimal and the Inevitable Nigel Shadbolt, Tim Brody, Les Carr, and Stevan Harnad University of Southampton Most of this book has been about the past and the present of Open Access (OA). Let’s now take a brief glimpse at its future, for it is already within reach and almost within sight: Once the optimal and inevitable outcome for the research literature has became actual , namely, all 2.5 million of the annual articles appearing in the planet’s 24,000 peer-reviewed research journals are freely accessible online to all would-be users, then: (1) All their OAI metadata and full-texts will be harvested and reverse-indexed by services such as Google, OAIster (and new OAI/OA services), making it possible to search all and only the research literature in all disciplines using Boolean full-text search (and, or not, etc.). (2) Boolean full-text search will be augmented by Artificial Intelligence (AI) based text-analysis and classification techniques superior to human pre- classification, infinitely less time-consuming, and applied automatically to the entire OA full-text corpus. (3) Articles and portions of articles will also be classified, tagged and annotated in terms of “ontologies” (lists of the kinds of things of interest in a subject domain, their characteristics, and their relations to other things) as provided by authors, users, other authorities, or automatic AI techniques, creating the OA research subset of the “semantic web” (Berners-Lee et al. -
Object Persistence and Availability in Digital Libraries Michael L
Old Dominion University ODU Digital Commons Computer Science Faculty Publications Computer Science 2002 Object Persistence and Availability in Digital Libraries Michael L. Nelson Old Dominion University B. Danette Allen Follow this and additional works at: https://digitalcommons.odu.edu/computerscience_fac_pubs Part of the Computer Sciences Commons, and the Digital Communications and Networking Commons Repository Citation Nelson, Michael L. and Allen, B. Danette, "Object Persistence and Availability in Digital Libraries" (2002). Computer Science Faculty Publications. 2. https://digitalcommons.odu.edu/computerscience_fac_pubs/2 Original Publication Citation Nelson, M.L., & Allen, B.D. (2002). Object persistence and availability in digital libraries. D-Lib Magazine, 8(1), 1-24. doi: 10.1045/ january2002-nelson This Article is brought to you for free and open access by the Computer Science at ODU Digital Commons. It has been accepted for inclusion in Computer Science Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Object Persistence and Availability in Digital Libraries Search | Back Issues | Author Index | Title Index | Contents D-Lib Magazine January 2002 Volume 8 Number 1 ISSN 1082-9873 Object Persistence and Availability in Digital Libraries Michael L. Nelson, B. Danette Allen NASA Langley Research Center Hampton, VA 23681 {m.l.nelson, b.d.allen}@nasa.gov Abstract We have studied object persistence and availability of 1,000 digital library (DL) objects. Twenty World Wide Web accessible DLs were chosen and from each DL, 50 objects were chosen at random. A script checked the availability of each object three times a week for just over 1 year for a total of 161 data samples. -
Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions
electronics Article Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions Fei Yan 1 , Abdullah M. Iliyasu 2,3,∗ and Kaoru Hirota 3,4 1 School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China; [email protected] 2 College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia 3 School of Computing, Tokyo Institute of Technology, Yokohama 226-8502, Japan; [email protected] 4 School of Automation, Beijing Institute of Technology, Beijing 100081, China * Correspondence: [email protected] Abstract: This study presents a modest attempt to interpret, formulate, and manipulate the emotion of robots within the precepts of quantum mechanics. Our proposed framework encodes emotion information as a superposition state, whilst unitary operators are used to manipulate the transition of emotion states which are subsequently recovered via appropriate quantum measurement operations. The framework described provides essential steps towards exploiting the potency of quantum mechanics in a quantum affective computing paradigm. Further, the emotions of multi-robots in a specified communication scenario are fused using quantum entanglement, thereby reducing the number of qubits required to capture the emotion states of all the robots in the environment, and therefore fewer quantum gates are needed to transform the emotion of all or part of the robots from one state to another. In addition to the mathematical rigours expected of the proposed framework, we present a few simulation-based demonstrations to illustrate its feasibility and effectiveness. This exposition is an important step in the transition of formulations of emotional intelligence to the quantum era.