Search results for 'Human information processing' (try it on Scholar)

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  1. Max Velmans (1991). Is Human Information Processing Conscious? 14 (4):651-69.score: 120.0
    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 (...)
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  2. Richard M. Shiffrin & Walter E. Schneider (1977). Controlled and Automatic Human Information Processing: Perceptual Learning, Automatic Attending, and a General Theory. Psychological Review 84:128-90.score: 90.0
  3. T. H. Carr (1979). Consciousness in Models of Human Information Processing: Primary Memory, Executive Control, and Input Regulation. In G. Underwood & R. Stevens (eds.), Aspects of Consciousness, Volume 1. Academic Press.score: 90.0
  4. Walter E. Schneider & Richard M. Shiffrin (1977). Controlled and Automatic Human Information Processing: I. Detection, Search, and Attention. Psychological Review 84:1-66.score: 90.0
     
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  5. Gualtiero Piccinini & Andrea Scarantino (2011). Information Processing, Computation, and Cognition. Journal of Biological Physics 37 (1):1-38.score: 84.0
    Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and (...)
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  6. Gualtiero Piccinini & Andrea Scarantino (2010). Computation Vs. Information Processing: Why Their Difference Matters to Cognitive Science. Studies in History and Philosophy of Science Part A 41 (3):237-246.score: 84.0
    Since the cognitive revolution, it’s become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theoristError: Illegal (...)
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  7. Jeffrey White (forthcoming). Without Conscience – An Information Processing Model of Psychopathy and Anti-Social Personality Disorders. In Moral Psychology. Nova Publications.score: 84.0
    Psychopathy is best regarded as a complex family of disorders. The upside is that this family can be tightly related along identifiable common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective disfunctions. An adequate portrait of psychopathy is much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, (...)
     
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  8. Malcolm Acock (1985). Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information. By David Marr. The Modern Schoolman 62 (2):141-142.score: 81.0
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  9. 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.score: 80.0
     
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  10. Marty J. Wolf (2013). The Importance of Actualizing Control in the Processing of Instructional Information. Philosophy and Technology 26 (1):67-70.score: 78.0
    This commentary on Fresco's article "Information processing as an account of concrete digital computation" illuminates the two intertwined roles that the definition of the term "information" plays in Fresco's analysis. It provides analysis of the notion of actualizing control in information processing. The key point made is that not all control information in common computational devices cannot be processed.
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  11. Nir Fresco (2013). Instructional Information Processing: Replies Considered. [REVIEW] Philosophy and Technology 26 (1):71-72.score: 73.0
    Wolf and White address different aspects of the paper and in this present reply space only permits making two brief remarks. One concerns White’s intriguing observation that digital computation without erasing information is possible. The second concerns the importance of control information in digital computing systems.
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  12. Max Velmans (ed.) (1996). The Science of Consciousness: Psychological, Neuropsychological, and Clinical Reviews. Routledge.score: 72.0
    Of all the problems facing science none are more challenging yet fascinating than those posed by consciousness. In The Science of Consciousness leading researchers examine how consciousness is being investigated in the key areas of cognitive psychology, neuropsychology and clinical psychology. Within cognitive psychology, special focus is given to the function of consciousness, and to the relation of conscious processing to nonconscious processing in perception, learning, memory and information dissemination. Neuropsychology includes examination of the neural conditions for (...)
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  13. Hagen Lindstädt (2001). More Nonconcavities in Information Processing Functions. Theory and Decision 51 (2/4):351-365.score: 72.0
    The productivity of (human) information processing as an economic activity is a question that is raising some interest. Using Marschak's evaluation framework, Radner and Stiglitz have shown that, under certain conditions, the production function of this activity has increasing marginal returns in its initial stage. This paper shows that, under slightly different conditions, this information processing function has repeated convexities with ongoing processing activity. Even for smooth changes in the signals' likelihoods, the function is (...)
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  14. A. Sloman & R. L. Chrisley, More Things Than Are Dreamt of in Your Biology: Information-Processing in Biologically Inspired Robots.score: 71.0
    Animals and robots perceiving and acting in a world require an ontology that accommodates entities, processes, states of affairs, etc., in their environment. If the perceived environment (...)
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  15. Aaron Sloman, Altricial Self-Organising Information-Processing Systems ∗.score: 71.0
    It is often thought that there is one key design principle or at best a small set of design principles, underlying the success of biological organisms. Candidates include neural nets, ‘swarm intelligence’, evolutionary computation, dynamical systems, particular types of architecture or use of a powerful uniform learning mechanism, e.g. reinforcement learning. All of those support types of self-organising, self-modifying behaviours. But we are nowhere near understanding the full variety of powerful information-processing principles ‘discovered’ by evolution. By attending closely (...)
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  16. Joseph F. Rychlak (1997). In Defense of Human Consciousness. American Psychological Association.score: 69.0
  17. David Martel Johnson & Christina E. Erneling (eds.) (1997). The Future of the Cognitive Revolution. Oxford University Press.score: 66.0
    The basic idea of the particular way of understanding mental phenomena that has inspired the "cognitive revolution" is that, as a result of certain relatively recent intellectual and technological innovations, informed theorists now possess a more powerfully insightful comparison or model for mind than was available to any thinkers in the past. The model in question is that of software, or the list of rules for input, output, and internal transformations by which we determine and control the workings of a (...)
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  18. William Ramsey, Stephen P. Stich & D. M. Rumelhart (eds.) (1991). Philosophy and Connectionist Theory. Lawrence Erlbaum.score: 63.0
    The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and higher visual processing -- as rule-governed symbol manipulation. However, this situation has changed dramatically over the last half dozen years. In that period there has been an enormous shift of attention toward connectionist models of cognition that (...)
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  19. Ansgar Beckermann (1995). Visual Information Processing and Phenomenal Consciousness. In Thomas Metzinger (ed.), Conscious Experience. Ferdinand Schoningh.score: 62.0
    As far as an adequate understanding of phenomenal consciousness is concerned, representationalist theories of mind which are modelled on the information processing paradigm, are, as much as corresponding neurobiological or functionalist theories, confronted with a series of arguments based on inverted or absent qualia considerations. These considerations display the following pattern: assuming we had complete knowledge about the neural and functional states which subserve the occurrence of phenomenal consciousness, would it not still be conceivable that these neural states (...)
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  20. Valerie Gray Hardcastle (1995). A Critique of Information Processing Theories of Consciousness. Minds and Machines 5 (1):89-107.score: 62.0
    Information processing theories in psychology give rise to executive theories of consciousness. Roughly speaking, these theories maintain that consciousness is a centralized processor that we use when processing novel or complex stimuli. The computational assumptions driving the executive theories are closely tied to the computer metaphor. However, those who take the metaphor serious — as I believe psychologists who advocate the executive theories do — end up accepting too particular a notion of a computing device. In this (...)
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  21. H. Nakashima (1999). AI as Complex Information Processing. Minds and Machines 9 (1):57-80.score: 62.0
    In this article, I present a software architecture for intelligent agents. The essence of AI is complex information processing. It is impossible, in principle, to process complex information as a whole. We need some partial processing strategy that is still somehow connected to the whole. We also need flexible processing that can adapt to changes in the environment. One of the candidates for both of these is situated reasoning, which makes use of the fact that (...)
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  22. Nir Fresco (2013). Information Processing as an Account of Concrete Digital Computation. Philosophy and Technology 26 (1):31-60.score: 62.0
    It is common in cognitive science to equate computation (and in particular digital computation) with information processing. Yet, it is hard to find a comprehensive explicit account of concrete digital computation in information processing terms. An information processing account seems like a natural candidate to explain digital computation. But when ‘information’ comes under scrutiny, this account becomes a less obvious candidate. Four interpretations of information are examined here as the basis for an (...)
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  23. Michael Schulte-Mecklenbeck (2007). Information Processing as One Key for a Unification? Behavioral and Brain Sciences 30 (1):40-40.score: 61.0
    The human information-acquisition process is one of the unifying mechanisms of the behavioral sciences. Three examples (from psychology, neuroscience, and political science) demonstrate that through inspection of this process, better understanding and hence more powerful models of human behavior can be built. The target method for this – process tracing – could serve as a central player in this building process of a unified framework. (Published Online April 27 2007).
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  24. Masao Itō, Y. Miyashita & Edmund T. Rolls (eds.) (1997). Cognition, Computation, and Consciousness. Oxford University Press.score: 60.0
    Understanding consciousness is a truly multidisciplinary project, attracting intense interest from researchers and theorists from diverse backgrounds. Thus, we now have computational scientists, neuroscientists, and philosophers all engaged in the same effort. This book draws together the work of leading researchers around the world, providing insights from these three general perspectives. The work is highlighted by a rare look at work being conducted by Japanese researchers.
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  25. Philip Julian Runkel (2003). People as Living Things: The Psychology of Perceptual Control. Living Control Systems Pub..score: 60.0
    Runkel links Perceptual Control Theory (PCT) thinking to psychological literature and discusses it against that background.
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  26. Paul Ableman (1999). The Secret of Consciousness: How the Brain Tells 'the Story of Me'. Marion Boyars.score: 60.0
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  27. Manuel de Vega, Arthur M. Glenberg & Arthur C. Graesser (eds.) (2008). Symbols and Embodiment: Debates on Meaning and Cognition. Oxford University Press.score: 60.0
    Cognitive scientists have a variety of approaches to studying cognition: experimental psychology, computer science, robotics, neuroscience, educational psychology, philosophy of mind, and psycholinguistics, to name but a few. In addition, they also differ in their approaches to cognition - some of them consider that the mind works basically like a computer, involving programs composed of abstract, amodal, and arbitrary symbols. Others claim that cognition is embodied - that is, symbols must be grounded on perceptual, motoric, and emotional experience. The existence (...)
     
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  28. Owen Maroney, Information Processing and Thermodynamic Entropy.score: 56.0
    Are principles of information processing necessary to demonstrate the consistency of statistical mechanics? Does the physical implementation of a computational operation have a fundamental thermodynamic cost, purely by virtue of its logical properties? These two questions lie at the centre of a large body of literature concerned with the Szilard engine (a variant of the Maxwell's demon thought experiment), Landauer's principle (supposed to embody the fundamental principle of the thermodynamics of computation) and possible connections between the two. A (...)
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  29. Peter Cariani (2000). Anesthesia, Neural Information Processing, and Consciousness Awareness. Consciousness and Cognition 9 (3):387-395.score: 56.0
    Possible systemic effects of general anesthetic agents on neural information processing are discussed in the context of the thalamocortical suppression hypothesis presented by Drs. Alkire, Haier, and Fallon (this issue) in their PET study of the anesthetized state. Accounts of the neural requisites of consciousness fall into two broad categories. Neuronal-specificity theories postulate that activity in particular neural populations is sufficient for conscious awareness, while process-coherence theories postulate that particular organizations of neural activity are sufficient. Accounts of anesthetic (...)
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  30. John Barresi & John R. Christie (2002). Consciousness and Information Processing: A Reply to Durgin. Consciousness and Cognition 11 (2):372-374.score: 56.0
    Durgin's (2002) commentary on our article provides us with an opportunity to look more closely at the relationship between information processing and consciousness. In our article we contrasted the information processing approach to interpreting our data, with our own 'scientific' approach to consciousness. However, we should point out that, on our view, information processing as a methodology is not by itself in conflict with the scientific study of consciousness - indeed, we have adopted this (...)
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  31. Dana Sugu & Amita Chatterjee (2012). Affective Information Processing and Representations. Springer (7143):42–49.score: 56.0
    Affective information processing is analysed considering the emotion circuits within the brain substrates of emotionality. Based on Gärdenfors’ conceptual spaces model we try to examine an emotion episode from its elicitation to the differentiation into affective processes. An affectiveconceptual spaces model is developed taking in consideration Panksepp’s nested BrainMind hierarchies.
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  32. Angus Gellatly (1999). Perception and Information Processing. Behavioral and Brain Sciences 22 (3):377-378.score: 56.0
    Perception and cognition can be understood either as conscious experience, thought, and behaviour or as bodily functions executed at the level of information processing. Whether or not they are cognitively penetrable depends on the level referred to. Selective attention is the mechanism by which cognition affects perception, theory influences observation and observational reports, culture biases experience, and current knowledge determines what inferences are made. Seeing must be distinguished from seeing as.
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  33. John R. Christie & John Barresi (2002). Consciousness and Information Processing: A Reply to Durgin. Consciousness and Cognition 11 (2):372-374.score: 56.0
    Durgin's (2002) commentary on our article provides us with an opportunity to look more closely at the relationship between information processing and consciousness. In our article we contrasted the information processing approach to interpreting our data, with our own 'scientific' approach to consciousness. However, we should point out that, on our view, information processing as a methodology is not by itself in conflict with the scientific study of consciousness - indeed, we have adopted this (...)
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  34. Vinod Goel (1991). Notationality and the Information Processing Mind. Minds and Machines 1 (2):129-166.score: 56.0
    Cognitive science uses the notion of computational information processing to explain cognitive information processing. Some philosophers have argued that anything can be described as doing computational information processing; if so, it is a vacuous notion for explanatory purposes.An attempt is made to explicate the notions of cognitive information processing and computational information processing and to specify the relationship between them. It is demonstrated that the resulting notion of computational information (...)
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  35. Francisco Calvo Garzón (2005). Rules, Similarity, and the Information-Processing Blind Alley. Behavioral and Brain Sciences 28 (1):17-18.score: 56.0
    Pothos's revision of rules and similarity in the area of language illustrates the impression that the classicist/connectionist debate is in a blind alley. Under his continuum proposal, both hypotheses fall neatly within the information-processing paradigm. In my view, the paradigm shift that dynamic systems theory represents (Spencer & Thelen 2003) should be submitted to critical scrutiny. Specific formalizations of the Rules versus Similarity distinction may not lead to a form of unification under Generalized Context Models or connectionist networks.
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  36. Stuart Hameroff, Search for Quantum and Classical Modes of Information Processing in Microtubules: Implications for “the Living State”.score: 56.0
    Dynamical activities within living eukaryotic cells are organized by microtubules, main structural components of the cytoskeleton and cylindrical polymers of the protein tubulin. Evidence and theoretical models suggest that states of tubulin may play the role of “bits” in classical microtubule computational automata. The advent of quantum information devices, key roles played by quantum processes in protein dynamics, and coherent ordering in the cell cytoplasm further suggest that microtubules may function as quantum computational devices, and that mesoscopic and macroscopic (...)
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  37. Roman Borisyuk, Galina Borisyuk & Yakov Kazanovich (1998). Synchronization of Neural Activity and Information Processing. Behavioral and Brain Sciences 21 (6):833-833.score: 56.0
    Synchronization of neural activity in oscillatory neural networks is a general principle of information processing in the brain at both preattentional and attentional levels. This is confirmed by a model of attention based on an oscillatory neural network with a central element and models of feature binding and working memory based on multi-frequency oscillations.
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  38. Søren Brier, Cybersemiotics and the Problems of the Information-Processing Paradigm as a Candidate for a Unified Science of Information Behind Library Information Science.score: 56.0
    As an answer to the humanistic, socially oriented critique of the information-processing paradigms used as a conceptual frame for library information science, this article formulates a broader and less objective concept of communication than that of the information-processing paradigm. Knowledge can be seen as the mental phenomenon that documents (combining signs into text, depending on the state of knowledge of the recipient) can cause through interpretation. The examination of these “correct circumstances” is an important part (...)
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  39. Keith D. Farnsworth, John Nelson & Carlos Gershenson (forthcoming). Living is Information Processing: From Molecules to Global Systems. Acta Biotheoretica.score: 56.0
    We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: (a) living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucleic acid coding; (b) this information processing has one overall function—to perpetuate itself; and (c) the processing method is filtration (cognition) of, and synthesis of, information (...)
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  40. William J. Clancey (2000). Conceptual Coordination Bridges Information Processing and Neurophysiology. Behavioral and Brain Sciences 23 (6):919-922.score: 56.0
    Information processing theories of memory and skills can be reformulated in terms of how categories are physically and temporally related, a process called conceptual coordination. Dreaming can then be understood as a story-understanding process in which two mechanisms found in everyday comprehension are missing: conceiving sequences (chunking categories in time as a higher-order categorization) and coordinating across modalities (e.g., relating the sound of a word and the image of its meaning). On this basis, we can readily identify isomorphisms (...)
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  41. Eric Dietrich & Arthur B. Markman (1998). All Information Processing Entails Computation, or, If R. A. Fisher Had Been a Cognitive Scientist . . Behavioral and Brain Sciences 21 (5):637-638.score: 56.0
    We argue that the dynamical and computational hypotheses are compatible and in fact need each other: they are about different aspects of cognition. However, only computationalism is about the information-processing aspect. We then argue that any form of information processing relying on matching and comparing, as cognition does, must use discrete representations and computations defined over them.
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  42. François Chapeau-Blondeau (1995). Information Processing in Neural Networks by Means of Controlled Dynamic Regimes. Acta Biotheoretica 43 (1-2).score: 56.0
    This paper is concerned with the modeling of neural systems regarded as information processing entities. I investigate the various dynamic regimes that are accessible in neural networks considered as nonlinear adaptive dynamic systems. The possibilities of obtaining steady, oscillatory or chaotic regimes are illustrated with different neural network models. Some aspects of the dependence of the dynamic regimes upon the synaptic couplings are examined. I emphasize the role that the various regimes may play to support information (...) abilities. I present an example where controlled transient evolutions in a neural network, are used to model the regulation of motor activities by the cerebellar cortex. (shrink)
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  43. Hubert R. Dinse (2001). Multiple and Variant Time Scales in Dynamic Information Processing. Behavioral and Brain Sciences 24 (5):814-814.score: 56.0
    Single cell receptive field dynamics characterized by highly complicated spatio-temporal activity distributions observable during sensory information processing transforms into much simpler spatio-temporal activity pattern at a population level, indicating a qualitative transformational step of time-variant processing from microscopic to mesoscopic levels. As these dynamics are subject to significant modifications during learning, dynamic information processing is in a permanent state of use-dependent fluctuations.
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  44. Robert Kozma (2001). Fragmented Attractor Boundaries in the KIII Model of Sensory Information Processing: A Potential Evidence of Cantor Encoding in Cognitive Processes. Behavioral and Brain Sciences 24 (5):820-821.score: 56.0
    Spatio-temporal neuro-dynamics is a quickly developing field of brain research and Tsuda's work is a significant contribution toward establishing theoretical foundations in this area. It is conceivable that the fragmented attractor landscapes and dynamical memory patterns identified earlier in various K-sets are biologically plausible manifestations of attractor ruins, chaotic itinerancy, and Cantor encoding as applied to sensory information processing.
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  45. Michael J. Ryan, Nicole M. Kime & Gil G. Rosenthal (1998). Patterns of Evolution in Human Speech Processing and Animal Communication. Behavioral and Brain Sciences 21 (2):282-283.score: 56.0
    We consider Sussman et al.'s suggestion that auditory biases for processing low-noise relationships among pairs of acoustic variables is a preadaptation for human speech processing. Data from other animal communication systems, especially those involving sexual selection, also suggest that neural biases in the receiver system can generate strong selection on the form of communication signals.
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  46. G. Tesauro, D. Touretzky & T. Leen (eds.) (1995). Advances in Neural Information Processing Systems 7. MIT Press.score: 56.0
    November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems.
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  47. Thomas R. Zentall (2002). A Multichannel Information-Processing System is Simpler and More Easily Tested. Behavioral and Brain Sciences 25 (5):646-646.score: 56.0
    The dance metaphor for the communication between two organisms may be an appealing image because it appears to capture the intricate synchronization of their interaction; however, it is neither parsimonious nor easily tested. Instead, a multichannel information-processing model, even one that can process only serial events, provides all of the flexibility required to account for the complex temporal coordinated action observed.
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  48. Patricia S. Churchland (1980). Language, Thought, and Information Processing. Noûs 14 (May):147-70.score: 54.0
  49. Mason Richey (2012). Motivated Reasoning in Political Information Processing: The Death Knell of Deliberative Democracy? Philosophy of the Social Sciences 42 (4):511-542.score: 54.0
    In this article I discuss what motivated reasoning research tells us about the prospects for deliberative democracy. In section (I) I introduce the results of several political psychology studies examining the problematic affective and cognitive processing of political information by individuals in non-deliberative, experimental environments. This is useful because these studies are often neglected in political philosophy literature. Section (II) has three stages. First (IIi), I sketch how the study results from section (I) question the practical viability of (...)
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  50. Cliff A. Hooker (1975). The Information-Processing Approach to the Brain-Mind and its Philosophical Ramifications. Philosophy and Phenomenological Research 36 (September):1-15.score: 54.0
  51. M. Richey (2012). Motivated Reasoning in Political Information Processing: The Death Knell of Deliberative Democracy? Philosophy of the Social Sciences 42 (4):511-542.score: 54.0
    In this article, I discuss what motivated reasoning research tells us about the prospects for deliberative democracy. In section I, I introduce the results of several political psychology studies examining the problematic affective and cognitive processing of political information by individuals in nondeliberative, experimental environments. This is useful because these studies are often neglected in political philosophy literature. Section II has three stages. First, I sketch how the study results from section I question the practical viability of deliberative (...)
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  52. Leslie P. Tolbert, Lynne A. Oland, Thomas C. Christensen & Anita R. Goriely (2003). Neuronal and Glial Morphology in Olfactory Systems: Significance for Information-Processing and Underlying Developmental Mechanisms. Brain and Mind 4 (1):27-49.score: 54.0
    The shapes of neurons and glial cells dictate many important aspects of their functions. In olfactory systems, certain architectural features are characteristics of these two cell types across a wide variety of species. The accumulated evidence suggests that these common features may play fundamental roles in olfactoryinformation processing. For instance, the primary olfactory neuropil in most vertebrate and invertebrate olfactory systems is organized into discrete modules called glomeruli. Inside each glomerulus, sensory axons and CNS neurons branch and synapse in (...)
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  53. P. Tolbert Leslie, A. Oland Lynne, C. Christensen Thomas & R. Goriely Anita (2003). Neuronal and Glial Morphology in Olfactory Systems: Significance for Information-Processing and Underlying Developmental Mechanisms. Brain and Mind 4 (1).score: 54.0
    The shapes of neurons and glial cells dictate many important aspects of their functions. In olfactory systems, certain architectural features are characteristics of these two cell types across a wide variety of species. The accumulated evidence suggests that these common features may play fundamental roles in olfactoryinformation processing. For instance, the primary olfactory neuropil in most vertebrate and invertebrate olfactory systems is organized into discrete modules called glomeruli. Inside each glomerulus, sensory axons and CNS neurons branch and synapse in (...)
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  54. Anthony Chemero (2003). Information for Perception and Information Processing. Minds and Machines 13 (4):577-588.score: 51.0
    Do psychologists and computer/cognitive scientists mean the same thing by the term `information'? In this essay, I answer this question by comparing information as understood by Gibsonian, ecological psychologists with information as understood in Barwise and Perry's situation semantics. I argue that, with suitable massaging, these views of information can be brought into line. I end by discussing some issues in (the philosophy of) cognitive science and artificial intelligence.
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  55. Mark Coeckelbergh (forthcoming). Human Development or Human Enhancement? A Methodological Reflection on Capabilities and the Evaluation of Information Technologies. Ethics and Information Technology.score: 51.0
    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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  56. J. Berleur (1996). International Federation for Information Processing's Framework for Computer Ethics. Science and Engineering Ethics 2 (2).score: 48.7
    This paper reviews codes of ethics and codes of conduct from different countries. The differences and similarities between code content and between attitudes are considered. Distinction is drawn between a code of ethics and a code of conduct. Recommendations are made for establishing a common framework for IFIP (International Federation for Information Process) Member or Affiliate Societies.
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  57. John Campbell (2005). Information-Processing, Phenomenal Consciousness and Molyneux's Question. In José Luis Bermúdez (ed.), Thought, Reference, and Experience: Themes From the Philosophy of Gareth Evans. Oxford: Clarendon Press.score: 48.0
    Ordinary common sense suggests that we have just one set of shape concepts that we apply indifferently on the bases of sight and touch. Yet we understand the shape concepts, we know what shape properties are, only because we have experience of shapes. And phenomenal experience of shape in vision and phenomenal experience of shape in touch seem to be quite different. So how can the shape concepts we grasp and use on the basis of vision be the same as (...)
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  58. E. Dye Danielle, Beverley McNamara Leanne Youngs & Peter O.’Leary Jack Goldblatt (2010). The Disclosure of Genetic Information: A Human Research Ethics Perspective. Journal of Bioethical Inquiry 7 (1).score: 48.0
    Increasing emphasis on genetic research means that growing numbers of human research projects in Australia will involve complex issues related to genetic privacy, familial information and genetic epidemiology. The Office of Population Health Genomics (Department of Health, Western Australia) hosted an interactive workshop to explore the ethical issues involved in the disclosure of genetic information, where researchers and members of human research ethics committees (HRECs) were asked to consider several case studies from an ethical perspective. Workshop (...)
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  59. Barry Smith (2013). Human Action in the Healthcare Domain: A Critical Analysis of HL7’s Reference Information Model. In Johanssonian Investigations. Essays in Honour of Ingvar Johansson on His Seventieth Birthday. Ontos Verlag.score: 48.0
    If we are to develop efficient, reliable and secure means for sharing information across healthcare systems and organizations, then a careful analysis of human actions will be needed. To address this need, the HL7 organization has proposed its Reference Information Model (RIM), which is designed to provide a comprehensive representation of the entire domain of healthcare centered around the phenomenon of human action. Taking the Basic Formal Ontology as our starting point, we examine the RIM from (...)
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  60. Sergio Morra (2001). On the Information-Processing Demands of Spatial Reasoning. Thinking and Reasoning 7 (4):347 – 365.score: 48.0
    This article describes a study on capacity limitations that affect the construction of spatial mental models. A process model is presented, according to which the construction of a mental model in Ehrlich and Johnson-Laird's (1982) spatial descriptions task places a workload of six information chunks for continuous and semi-continuous descriptions, and seven chunks for discontinuous descriptions. Participants (48 undergraduate students) performed the spatial descriptions task and the figural intersections test (FIT), which yields a capacity score. The pattern of errors (...)
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  61. Peter Day (1996). The Human-Centred Information Society: A Community-Based Approach. AI and Society 10 (2):181-198.score: 48.0
    The paper argues that the human-centred approach should be considered as an alternative to the techno-economic model of the EC information society. This alternative approach should be based on the principles of democratic participation of citizens and social cohesion. Using a community development based approach the paper introduces concepts of partnership, tripartite collaboration and universal participation. Having evaluated a human-centred approach to the information society this is then applied to the results of four case studies of (...)
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  62. Raymond P. Kesner (1999). Perirhinal Cortex and Hippocampus Mediate Parallel Processing of Object and Spatial Location Information. Behavioral and Brain Sciences 22 (3):455-455.score: 48.0
    An alternative to Aggleton & Brown's interpretation is presented suggesting that the perirhinal cortex and hippocampus mediate different attribute information, but use the same processes, supporting the idea of parallel processing based on attribute (visual object and spatial location) rather than process characteristics (item recognition and familiarity).
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  63. Dietrich Brandt & Janko Cernetic (1998). Human-Centred Appraoches to Control and Information Technology: European Experiences. AI and Society 12 (1-2):2-20.score: 48.0
    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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  64. G. Stephen Taylor & J. Stephen Davis (1989). Individual Privacy and Computer-Based Human Resource Information Systems. Journal of Business Ethics 8 (7):569 - 576.score: 48.0
    The proliferation of computers in the business realm may lead to ethical problems between individual and societal rights, and the organization's need to control costs. In an attempt to explore the causes of this potential conflict, this study examined the varying levels of sensitivity 223 respondents assigned to different types of information typically stored in computer-based human resource information systems. It was found that information most directly related to the job — pay rate, fringe benefits, educational (...)
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  65. Glenn Gunzelmann & Don R. Lyon (2011). Representations and Processes of Human Spatial Competence. Topics in Cognitive Science 3 (4):741-759.score: 47.0
    This article presents an approach to understanding human spatial competence that focuses on the representations and processes of spatial cognition and how they are integrated with cognition more generally. The foundational theoretical argument for this research is that spatial information processing is central to cognition more generally, in the sense that it is brought to bear ubiquitously to improve the adaptivity and effectiveness of perception, cognitive processing, and motor action. We describe research spanning multiple levels of (...)
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  66. 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.score: 47.0
     
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  67. H. Barnum (2003). Quantum Information Processing, Operational Quantum Logic, Convexity, and the Foundations of Physics. Studies in History and Philosophy of Science Part B 34 (3):343-379.score: 45.0
    Quantum information science is a source of task-related axioms whose consequences can be explored in general settings encompassing quantum mechanics, classical theory, and more. Quantum states are compendia of probabilities for the outcomes of possible operations we may perform on a system: ''operational states.'' I discuss general frameworks for ''operational theories'' (sets of possible operational states of a system), in which convexity plays key role. The main technical content of the paper is in a theorem that any such theory (...)
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  68. Michael E. Brady (1987). J. M. Keynes' 'Theory of Evidential Weight': Its Relation to Information Processing Theory and Application in the General Theory. Synthese 71 (1):37 - 59.score: 45.0
    The conclusions derived by Keynes in his Treatise on Probability (1921) concerning induction, analogical reasoning, expectations formation and decision making, mirror and foreshadow the main conclusions of cognitive science and psychology.The problem of weight is studied within an economic context by examining the role it played in Keynes' applied philosophy work, The General Theory (1936). Keynes' approach is then reformulated as an optimal control approach to dealing with changes in information evaluation over time. Based on this analysis the problem (...)
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  69. Miguel López Astorga (2012). Revictimization and information processing: problems in the study of reasoning difficulties. Cinta de Moebio (44):153-168.score: 45.0
    DePrince relates problems such as dissociation, revictimization and difficulties in social cognition. In particular, she states that individuals with dissociation or have been, by their own testimony, revictimized show obvious difficulties to solve selection tasks designed as social contracts or precautory problems. In my view, these facts mean that, if we accept the theories that there are mechanisms in human mind to regulate social exchanges and situations of risk, individuals with dissociation or revitimized may have altered such mechanisms. However, (...)
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  70. David Spurrett (2002). Information Processing and Dynamical Systems Approaches Are Complementary. Behavioral and Brain Sciences 25 (5):639-640.score: 45.0
    Shanker & King (S&K) trumpet the adoption of a “new paradigm” in communication studies, exemplified by ape language research. Though cautiously sympathetic, I maintain that their argument relies on a false dichotomy between “information” and “dynamical systems” theory, and that the resulting confusion prevents them from recognizing the main chance their line of thinking suggests.
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  71. Richard Latto (2004). Form Follows Function in Visual Information Processing. Behavioral and Brain Sciences 27 (1):43-44.score: 45.0
    Understanding neural anatomy and physiology depends on first understanding the behaviour being mediated. Glover, in his review of earlier work suggesting various dichotomies in visual processing, shows how there is a tendency to oversimplification if this approach is ignored. His own new proposals demonstrate the advantages of allowing function to drive anatomical analysis. Nevertheless, the new planning–control dichotomy he proposes, though a valuable advance, is itself an oversimplification of what must be a multi-channel system.
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  72. Aaron Sloman (1992). Prolegomena to a Theory of Communication and Affect. In Andrew Ortony, Jon Slack & Oliviero Stock (eds.), Communication from an Artificial Intelligence Perspective: Theoretical and Applied Issues. Springer.score: 45.0
    As a step towards comprehensive computer models of communication, and effective human machine dialogue, some of the relationships between communication and affect are explored. An outline theory is presented of the architecture that makes various kinds of affective states possible, or even inevitable, in intelligent agents, along with some of the implications of this theory for various communicative processes. The model implies that human beings typically have many different, hierarchically organized, dispositions capable of interacting with new information (...)
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  73. Amit Dubey, Frank Keller & Patrick Sturt (2013). Probabilistic Modeling of Discourse‐Aware Sentence Processing. Topics in Cognitive Science 5 (2).score: 44.0
    Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic factors. This restriction is unrealistic in light of experimental results suggesting interactions between syntax and other forms of linguistic information in human sentence processing. To address this limitation, this article introduces two sentence processing models that augment a syntactic component with information about discourse co-reference. The novel combination of probabilistic syntactic components (...)
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  74. Alvin David, Mark Moore & Dan Rusu (2002). Unconscious Information Processing, Hypnotic Amnesia, and the Misattribution of Arousal: Schachter and Singer's Theory Revised. Journal of Cognitive and Behavioral Psychotherapies 2 (1):23-33.score: 44.0
     
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  75. Lydia Arianova (1996). The Information Processing Organisms. Acta Biotheoretica 44 (2).score: 43.0
    In spite of the tremendous progress in recent decades of biological science, many aspects of the behaviour of organisms in general and of humans in particular remain still somewhat obscure. A new approach towards the study of the behaviour of man was presented by Heisenberg when he emphasized that a Cartesian view of nature as an object out there is an illusion in so far as the observer is always part of the formula, the man viewing nature must be figured (...)
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  76. William Bechtel & Cory D. Wright (2009). What is Psychological Explanation? In P. Calvo & J. Symons (eds.), Routledge Companion to the Philosophy of Psychology. Routledge.score: 42.0
    Due to the wide array of phenomena that are of interest to them, psychologists offer highly diverse and heterogeneous types of explanations. Initially, this suggests that the question "What is psychological explanation?" has no single answer. To provide appreciation of this diversity, we begin by noting some of the more common types of explanations that psychologists provide, with particular focus on classical examples of explanations advanced in three different areas of psychology: psychophysics, physiological psychology, and information-processing psychology. To (...)
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  77. Christopher D. Frith (1979). Consciousness, Information Processing and Schizophrenia. British Journal of Psychiatry 134:225-35.score: 42.0
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  78. Wolf Singer (1993). Synchronization of Cortical Activity and its Putative Role in Information Processing and Learning. Annual Review of Physiology 55:349-74.score: 42.0
  79. Balaram Das, A Framework for Conscious Information Processing.score: 42.0
  80. Christopher D. Frith (1992). Consciousness, Information Processing, and the Brain. Journal of Psychopharmacology 6:436-40.score: 42.0
  81. T. H. Carr, C. McCauley, R. D. Sperber & C. M. Parmelee (1982). Words, Pictures, and Priming: On Semantic Activation, Conscious Identification, and the Automaticity of Information Processing. Journal of Experimental Psychology 8:757-777.score: 42.0
  82. Brian Skyrms, Pragmatics, Logic, and Information Processing.score: 42.0
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  83. B. Chandrasekaran, A. Goel & D. Allemang (1988). Connectionism and Information-Processing Abstractions. AI Magazine 24.score: 42.0
  84. H. D. R. Golledge, C. C. Hilgetag & M. J. Tovee (1996). Information Processing: A Solution to the Binding Problem. Current Biology 6:1092-95.score: 42.0
  85. Rosemary Agonito (1975). Neurological Information Processing and Free Persons. Southern Journal of Philosophy 13 (1):3-11.score: 42.0
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  86. H. G. Geissler, S. W. Link & J. T. Townsend (eds.) (1992). Cognition, Information Processing, and Psychophysics: Basic Issues. Lawrence Erlbaum.score: 42.0
    The plan for this volume emerged during the international Leipzig conference commemorating the centenary of the death of Gustav Fechner.
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  87. Ulrike Hahn (2002). Information, Information Transfer, and Information Processing. Behavioral and Brain Sciences 25 (5):626-627.score: 42.0
    Shanker & King (S&K) fail to provide substantive reasons for a paradigm shift in the study of communication because nonstandard and equivocal use of terminology obscures and undercuts their arguments.
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  88. Paul A. Klaczynski (2000). Is Rationality Really “Bounded” by Information Processing Constraints? Behavioral and Brain Sciences 23 (5):683-684.score: 42.0
    Extremist views on normative rationality fail to address differences in responding owing to intellectual ability or epistemic self-regulation. Individual difference research thus raises serious questions concerning the scientific utility of universal rationality and universal irrationality theories. However, recent data indicate that computational capacity theories do not account adequately for within-subject variability in normative responding, memory-reasoning independence, and instances of ability-normative reasoning independence.
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  89. George E. Smith & Stephen M. Kosslyn (1980). An Information-Processing Theory of Mental Imagery: A Case Study in the New Mentalistic Psychology. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:247 - 266.score: 42.0
    A particular research program on mental imagery is defended against certain sweeping methodological criticisms that have been advanced against it. The central claim is that the approach taken in the program is an appropriate response to the problem of doing empirical research in a theoretical vacuum, and that when it is viewed in this perspective, the criticisms are not merely unfounded, they are inappropriate. The argument for this claim is developed by first describing the program and then analyzing the methodological (...)
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  90. Glyn W. Humphreys (1986). Information-Processing Systems Which Embody Computational Rules: The Connectionist Approach. Mind and Language 1 (3):201-12.score: 42.0
  91. Abir Igamberdiev (1997). Information Processing as an Intrinsic Property of Biological Systems: Origin and Dynamics of Information. World Futures 50 (1):571-581.score: 42.0
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  92. Evelina Tapia, Bruno G. Breitmeyer & Elizabeth C. Broyles (forthcoming). Properties of Spatial Attention in Conscious and Nonconscious Visual Information Processing. Consciousness and Cognition.score: 42.0
  93. Author unknown, Pragmatics, Logic, and Information Processing.score: 42.0
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  94. K. Sathian, Simon Lacey, Gregory Gibson & Randall Stilla (2007). Multifaceted Functional Specialization of Somatosensory Information Processing. Behavioral and Brain Sciences 30 (2):219-220.score: 42.0
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  95. Harley Shands (1973). Other-Than-Neurological Components Basic to Human Data-Processing Operations. World Futures 14 (1):13-32.score: 42.0
  96. Robert L. Solso (ed.) (1975). Information Processing and Cognition: The Loyola Symposium. Lawrence Erlbaum.score: 42.0
  97. Kenneth Deffenbacher & Evan Brown (1973). Memory and Cognition: An Information Processing Model of Man. Theory and Decision 4 (2):141-178.score: 42.0
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  98. Hans Flohr (1995). An Information-Processing Theory of Anesthesia. Neuropsychologia 33:1169-80.score: 42.0
     
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  99. Hede Helfrich (ed.) (2003). Time and Mind II: Information Processing Perspectives. Hogrefe & Huber Publishers.score: 42.0
     
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  100. Wilhelm J. Jordaan (1993). Cognitive Science: From Information-Processing to Acts of Meaning. South African Journal of Philosophy 12 (4):91-102.score: 42.0
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