Search results for 'Human Information Storage' (try it on Scholar)

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  1.  1
    Melvin H. Rudov (1966). Dimensionality in Human Information Storage. Journal of Experimental Psychology 71 (2):273.
  2. Bertram F. Malle (2005). Folk Theory of Mind: Conceptual Foundations of Human Social Cognition. In Ran R. Hassin, James S. Uleman & John A. Bargh (eds.), The New Unconscious. Oxford Series in Social Cognition and Social Neuroscience. Oxford University Press 225-255.
    The human ability to represent, conceptualize, and reason about mind and behavior is one of the greatest achievements of human evolution and is made possible by a “folk theory of mind” — a sophisticated conceptual framework that relates different mental states to each other and connects them to behavior. This chapter examines the nature and elements of this framework and its central functions for social cognition. As a conceptual framework, the folk theory of mind operates prior to any (...)
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  3.  26
    Elizabeth A. Phelps (2005). The Interaction of Emotion and Cognition: The Relation Between the Human Amygdala and Cognitive Awareness. In Ran R. Hassin, James S. Uleman & John A. Bargh (eds.), The New Unconscious. Oxford Series in Social Cognition and Social Neuroscience. Oxford University Press 61-76.
  4. Peter Walla, Bernd Hufnagl, Johann Lehrner, Dagmar Mayer, Gerald Lindinger, Lüder Deecke & Wilfried Lang (2002). Evidence of Conscious and Subconscious Olfactory Information Processing During Word Encoding: A Magnetoencephalographic (MEG) Study. Cognitive Brain Research 14 (3):309-316.
     
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  5. J. Allik (2000). Available and Accessible Information in Memory and Vision. In Endel Tulving (ed.), Memory, Consciousness, and the Brain: The Tallinn Conference. Psychology Press/Taylor & Francis
  6. Max Velmans (1991). Is Human Information Processing Conscious? Behavioral and Brain Sciences 14 (4):651-69.
    Investigations of the function of consciousness in human information processing have focused mainly on two questions: (1) where does consciousness enter into the information processing sequence and (2) how does conscious processing differ from preconscious and unconscious processing. Input analysis is thought to be initially "preconscious," "pre-attentive," fast, involuntary, and automatic. This is followed by "conscious," "focal-attentive" analysis which is relatively slow, voluntary, and flexible. It is thought that simple, familiar stimuli can be identified preconsciously, but conscious (...)
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  7. Alfred W. Hübler & Onyeama Osuagwu (2010). Digital Quantum Batteries: Energy and Information Storage in Nanovacuum Tube Arrays. Complexity 15 (5):NA-NA.
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  8.  75
    Mark Coeckelbergh (2011). Human Development or Human Enhancement? A Methodological Reflection on Capabilities and the Evaluation of Information Technologies. Ethics and Information Technology 13 (2):81-92.
    Nussbaum’s version of the capability approach is not only a helpful approach to development problems but can also be employed as a general ethical-anthropological framework in ‘advanced’ societies. This paper explores its normative force for evaluating information technologies, with a particular focus on the issue of human enhancement. It suggests that the capability approach can be a useful way of to specify a workable and adequate level of analysis in human enhancement discussions, but argues that any interpretation (...)
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  9.  2
    John G. Seamon (1972). Imagery Codes and Human Information Retrieval. Journal of Experimental Psychology 96 (2):468.
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  10.  6
    Dietrich Brandt & Janko Cernetic (1998). Human-Centred Appraoches to Control and Information Technology: European Experiences. [REVIEW] AI and Society 12 (1-2):2-20.
    In this paper, the concept of Human-Centred Technology will be described with regard to the different dimensions of workplace, groupwork and networks and in terms of the frameworks of both society and the natural environment. These different aspects of Human-Centred Systems will be illustrated by a series of case studies representing several European countries. The report covers a wide range of research fields. The emphasis is on technology: the roles of control and information technology in enterprises today (...)
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  11.  11
    Katharina Henke, Valerie Treyer, Eva T. Nagy, Stefan Kneifel, Max Düsteler, Roger M. Nitsch & Alfred Buck (2003). Active Hippocampus During Nonconscious Memories. Consciousness and Cognition 12 (1):31-48.
    The hippocampal formation is known for its importance in conscious, declarative memory. Here, we report neuroimaging evidence in humans for an additional role of the hippocampal formation in nonconscious memory. We maskedly presented combinations of faces and written professions such that subjects were not aware of them. Nevertheless, the masked presentations activated many of the brain regions that unmasked presentations of these stimuli did. To induce a nonconscious retrieval of the faces and face-associated occupational information, subjects were instructed to (...)
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  12.  54
    L. Deouell (2002). Pre-Requisites for Conscious Awareness: Clues From Electrophysiological and Behavioral Studies of Unilateral Neglect Patients. Consciousness and Cognition 11 (4):546-567.
    Encoding sensory events entails processing of several physical attributes. Is the processing of any of these attributes a pre-requisite of conscious awareness? This selective review examines a recent set of behavioral and event-related potentials, studies conducted in patients with visual and auditory unilateral neglect or extinction, with the aim of establishing what aspects of initial processing are impaired in these patients. These studies suggest that extinguished visual stimuli excite the sensory cortices, but perhaps to a lesser degree than acknowledged stimuli (...)
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  13. C. C. G. Sweegers, G. A. Coleman, E. A. M. van Poppel, R. Cox & L. M. Talamini (2015). Mental Schemas Hamper Memory Storage of Goal-Irrelevant Information. Frontiers in Human Neuroscience 9.
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  14.  7
    Richard F. Thompson & Stephen A. Madigan (2005). Memory: The Key to Consciousness. Princeton University Press.
    Everyone fascinated by the scope and power of the human brain will find this book unforgettable.
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  15.  82
    Daniel Kahneman & Shane Frederick (2005). A Model of Heuristic Judgment. In K. Holyoak & B. Morrison (eds.), The Cambridge Handbook of Thinking and Reasoning. Cambridge Univ Pr 267--293.
    The program of research now known as the heuristics and biases approach began with a study of the statistical intuitions of experts, who were found to be excessively confident in the replicability of results from small samples. The persistence of such systematic errors in the intuitions of experts implied that their intuitive judgments may be governed by fundamentally different processes than the slower, more deliberate computations they had been trained to execute. The ancient idea that cognitive processes can be partitioned (...)
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  16.  13
    Ralph Norman Haber (1983). The Impending Demise of the Icon: A Critique of the Concept of Iconic Storage in Visual Information Processing. Behavioral and Brain Sciences 6 (1):1.
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  17.  17
    Paul M. Fitts (1954). The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement. Journal of Experimental Psychology 47 (6):381.
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  18.  46
    Lynn C. Robertson (2003). Binding, Spatial Attention and Perceptual Awareness. Nature Reviews Neuroscience 4 (2):93-102.
  19.  55
    Adam K. Anderson (2005). Affective Influences on the Attentional Dynamics Supporting Awareness. Journal of Experimental Psychology 134 (2):258-281.
  20.  58
    Andrew P. Yonelinas (2001). Consciousness, Control, and Confidence: The 3 Cs of Recognition Memory. Journal of Experimental Psychology 130 (3):361-379.
  21.  36
    John H. Mace (2006). Episodic Remembering Creates Access to Involuntary Conscious Memory: Demonstrating Involuntary Recall on a Voluntary Recall Task. Memory 14 (8):917-924.
  22. Mark H. Bickhard (2003). Some Notes on Internal and External Relations and Representation. Consciousness and Emotion 4 (1):101-110.
    Internal relations are those relations that are intrinsic to the nature of one or more of the relata. They are a kind of essential relation, rather than an essential property. For example, an arc of a circle is internally related to the center of that circle in the sense that.
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  23.  27
    Yves Rossetti (2001). Implicit Perception in Action: Short-Lived Motor Representation of Space. In Peter G. Grossenbacher (ed.), Finding Consciousness in the Brain: A Neurocognitive Approach. Advances in Consciousness Research. John Benjamins 133-181.
  24.  31
    Dawn M. McBride & B. Dosher (2002). A Comparison of Conscious and Automatic Memory Processes for Picture and Word Stimuli: A Process Dissocation Analysis. Consciousness and Cognition 11 (3):423-460.
    Four experiments were conducted to evaluate explanations of picture superiority effects previously found for several tasks. In a process dissociation procedure with word stem completion, picture fragment completion, and category production tasks, conscious and automatic memory processes were compared for studied pictures and words with an independent retrieval model and a generate-source model. The predictions of a transfer appropriate processing account of picture superiority were tested and validated in “process pure” latent measures of conscious and unconscious, or automatic and source, (...)
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  25.  53
    Monica Meijsing (2006). Being Ourselves and Knowing Ourselves: An Adverbial Account of Mental Representations. Consciousness and Cognition 15 (3):605-619.
    This paper takes an evolutionary approach to what we are, namely autopoietic systems with a first person perspective on our surroundings and ourselves. This in contrast with Thomas Metzinger.
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  26.  50
    Bettina Davou (2002). Unconscious Processes Influencing Learning. Psychodynamic Practice 8 (3):277-294.
  27. Peter Walla, Katharina Greiner, Cornelia Duregger, Lüder Deecke & Stefan Thurner (2007). Self-Awareness and the Subconscious Effect of Personal Pronouns on Word Encoding: A Magnetoencephalography (MEG) Study. Neuropsychologia 45 (4):796-809.
     
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  28.  10
    Giuseppe Vitiello (2002). Dissipative Quantum Brain Dynamics. In Kunio Yasue, Marj Jibu & Tarcisio Della Senta (eds.), No Matter, Never Mind: Proceedings of Toward a Science of Consciousness: Fundamental Approaches (Tokyo '99). John Benjamins 43-61.
  29.  25
    Thomas G. Bever & David J. Townsend (2001). Some Sentences on Our Consciousness of Sentences. In Emmanuel Dupoux (ed.), Language, Brain, and Cognitive Development: Essays in Honor of Jacques Mehler. MIT Press 143-155.
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  30.  17
    Leslie Smith (2003). Internality of Mental Representation: Twenty Questions for Interactivism. Comment. Consciousness and Emotion 4 (2):307-326.
  31. Emrah Duzel (2000). What Brain Activity Tells Us About Conscious Awareness of Memory Retrieval. In Endel Tulving (ed.), Memory, Consciousness, and the Brain: The Tallinn Conference. Psychology Press 173-187.
  32. Beatrice De Gelder, Jean Vroomen & Gilles Pourtois (2001). Covert Affective Cognition and Affective Blindsight. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press 205-221.
     
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  33. Stephen M. Kosslyn (2001). Visual Consciousness. In Peter G. Grossenbacher (ed.), Finding Consciousness in the Brain: A Neurocognitive Approach. John Benjamins 79-103.
  34. Richard M. Shiffrin & Walter E. Schneider (1977). Controlled and Automatic Human Information Processing: Perceptual Learning, Automatic Attending, and a General Theory. Psychological Review 84 (2):128-90.
    Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories (...)
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  35.  4
    W. Kintsch & D. Monk (1972). Storage of Complex Information in Memory: Some Implications of the Speed with Which Inferences Can Be Made. Journal of Experimental Psychology 94 (1):25.
  36.  8
    Boris Granovskiy, Jason M. Gold, David J. T. Sumpter & Robert L. Goldstone (2015). Integration of Social Information by Human Groups. Topics in Cognitive Science 7 (3):469-493.
    We consider a situation in which individuals search for accurate decisions without direct feedback on their accuracy, but with information about the decisions made by peers in their group. The “wisdom of crowds” hypothesis states that the average judgment of many individuals can give a good estimate of, for example, the outcomes of sporting events and the answers to trivia questions. Two conditions for the application of wisdom of crowds are that estimates should be independent and unbiased. Here, we (...)
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  37.  4
    Evans E. Woherem (1991). Human Factors in Information Technology: The Socio-Organisational Aspects of Expert Systems Design. [REVIEW] AI and Society 5 (1):18-33.
    This paper looks beyond the mostly technical and business issues that currently inform the design of knowledge-based systems (e.g., expert systems) to point out that there is also a social and organisational (a socio-organisational) dimension to the issues affecting the design decisions of expert systems and other information technologies. It argues that whilst technical and business issues are considered before the design of Expert Systems, that socio-organisational issues determine the acceptance and long-run utility of the technology after it has (...)
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  38. Bartlomiej Lenart & Miranda Koshelek (2015). Human Rights and Access to Information. Progressive Librarian (43).
    Unresolved disagreements on issues of access, censorship, and privacy within the information profession can be dangerous when entrepreneurial interests outweigh the public good and as corporations anticipate financial gain from placing limitations on information retrieval and use. The information profession can benefit from a grounding of its core values in a robust moral framework that can coherently place demands on interested parties. We argue that grounding the core values of privacy and ubiquitous access to information in (...)
     
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  39.  8
    D. E. Berlyne (1957). Conflict and Information-Theory Variables as Determinants of Human Perceptual Curiosity. Journal of Experimental Psychology 53 (6):399.
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  40.  5
    W. A. Hillix & Melvin H. Marx (1960). Response Strengthening by Information and Effect in Human Learning. Journal of Experimental Psychology 60 (2):97.
  41.  2
    Louis M. Herman (1966). Information Encoding and Decision Time as Variables in Human Choice Behavior. Journal of Experimental Psychology 71 (5):718.
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  42.  10
    Andrew Howes, Richard L. Lewis & Satinder Singh (2014). Utility Maximization and Bounds on Human Information Processing. Topics in Cognitive Science 6 (2):198-203.
    Utility maximization is a key element of a number of theoretical approaches to explaining human behavior. Among these approaches are rational analysis, ideal observer theory, and signal detection theory. While some examples of these approaches define the utility maximization problem with little reference to the bounds imposed by the organism, others start with, and emphasize approaches in which bounds imposed by the information processing architecture are considered as an explicit part of the utility maximization problem. These latter approaches (...)
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  43.  17
    William F. Birdsall (2011). Human Capabilities and Information and Communication Technology: The Communicative Connection. [REVIEW] Ethics and Information Technology 13 (2):93-106.
    The potential contributions information and communication technology (ICT) can make to advancing human capabilities are acknowledged by both the capability approach (CA) and ICT communities. However, there is a lack of genuine engagement between the two communities. This paper addresses the question: How can a collaborative dialogue between the CA and ICT communities be advanced? A prerequisite to exploring collaboratively the potential use of particular technologies with specific capabilities is a conceptual framework within which a dialogue can be (...)
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  44.  19
    Giulio Galiero & Gabriele Giammatteo (2009). Trusting Third-Party Storage Providers for Holding Personal Information. A Context-Based Approach to Protect Identity-Related Data in Untrusted Domains. Identity in the Information Society 2 (2):99-114.
    The never ending growth of digital information and the availability of low-cost storage facilities and networks capacity is leading users towards moving their data to remote storage resources. Since users’ data often holds identity-related information, several privacy issues arise when data can be stored in untrusted domains. In addition digital identity management is becoming extremely complicated due to the identity replicas proliferation necessary to get authentication in different domains. GMail and Amazon Web Services, for instance, are (...)
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  45.  19
    Vincent C. Müller (2002). Communicating the Same Information to a Human and to a Machine: Is There a Difference in Principle? In Konstantinos Boudouris & Takis Poulakos (eds.), Philosophy of communication: Proceedings of the 13th international conference on Greek philosophy (IAGP 13). Ionia 168-176.
    We try to show that there is no difference in principle between communicating a piece of information to a human and to a machine. The argumentation depends on the following theses: Communicating is transfer of information; information has propositional form; propositional form can be modelled as categorization; categorisation can be modelled in a machine; a suitably equipped machine can grasp propositional content designed for human communication. What I suggest is that the discussion should focus on (...)
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  46.  8
    Remi Fleurian, Tim Blackwell, Oded Ben‐Tal & Daniel Müllensiefen (2016). Information‐Theoretic Measures Predict the Human Judgment of Rhythm Complexity. Cognitive Science 40 (5):n/a-n/a.
    To formalize the human judgment of rhythm complexity, we used five measures from information theory and algorithmic complexity to measure the complexity of 48 artificially generated rhythmic sequences. We compared these measurements to human prediction accuracy and easiness judgments obtained from a listening experiment, in which 32 participants guessed the last beat of each sequence. We also investigated the modulating effects of musical expertise and general pattern identification ability. Entropy rate and Kolmogorov complexity were correlated with prediction (...)
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  47.  4
    Paulina Tindana, Catherine S. Molyneux, Susan Bull & Michael Parker (2014). Ethical Issues in the Export, Storage and Reuse of Human Biological Samples in Biomedical Research: Perspectives of Key Stakeholders in Ghana and Kenya. BMC Medical Ethics 15 (1):76.
    For many decades, access to human biological samples, such as cells, tissues, organs, blood, and sub-cellular materials such as DNA, for use in biomedical research, has been central in understanding the nature and transmission of diseases across the globe. However, the limitations of current ethical and regulatory frameworks in sub-Saharan Africa to govern the collection, export, storage and reuse of these samples have resulted in inconsistencies in practice and a number of ethical concerns for sample donors, researchers and (...)
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  48.  3
    Claudine Burton-Jeangros & Annik Dubied Losa (2011). Human and Nonhuman Animals, Mutually at Risk: A Study of the Swiss Information Media. Society and Animals 19 (4):337-355.
    Nowadays, relationships between nonhuman animals and humans are debated, often in relation to issues associated with the risks they represent for each other. On the one hand, new diseases and accidents indicate that animals are not as innocuous as they were long thought; on the other hand, the now questioned human impact on the natural environment is considered a risk for animals. This research analyzed these contrasting images of animals in the Swiss information media. Of the five main (...)
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  49.  1
    Annik Dubied Losa & Claudine Burton-Jeangros (2011). Human and Nonhuman Animals, Mutually at Risk: A Study of the Swiss Information Media. Society and Animals 19 (4):337-355.
    Nowadays, relationships between nonhuman animals and humans are debated, often in relation to issues associated with the risks they represent for each other. On the one hand, new diseases and accidents indicate that animals are not as innocuous as they were long thought; on the other hand, the now questioned human impact on the natural environment is considered a risk for animals. This research analyzed these contrasting images of animals in the Swiss information media. Of the five main (...)
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  50.  24
    Robin Blume-Kohout & Wojciech H. Zurek (2005). A Simple Example of “Quantum Darwinism”: Redundant Information Storage in Many-Spin Environments. Foundations of Physics 35 (11):1857-1876.
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