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

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  1. David A. Pearce, H. Wansing & All-Berlin Workshop on Nonclassical Logics and Information Processing (1992). Nonclassical Logics and Information Processing International Workshop, Berlin, Germany, November 9-10, 1990 : Proceedings. [REVIEW]
     
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  2. 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 (...)
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  3. 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 (...)
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  4.  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 (...)
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  5.  5
    George E. Briggs & James M. Swanson (1970). Encoding, Decoding, and Central Functions in Human Information Processing. Journal of Experimental Psychology 86 (2):296.
  6.  1
    John D. Williams (1971). Memory Ensemble Selection in Human Information Processing. Journal of Experimental Psychology 88 (2):231.
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    Kathleen R. Gibson (2012). Human Tool-Making Capacities Reflect Increased Information-Processing Capacities: Continuity Resides in the Eyes of the Beholder. Behavioral and Brain Sciences 35 (4):225-226.
    Chimpanzee/human technological differences are vast, reflect multiple interacting behavioral processes, and may result from the increased information-processing and hierarchical mental constructional capacities of the human brain. Therefore, advanced social, technical, and communicative capacities probably evolved together in concert with increasing brain size. Interpretations of these evolutionary and species differences as continuities or discontinuities reflect differing scientific perspectives.
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  8.  1
    Irving Biederman (1972). Human Performance in Contingent Information-Processing Tasks. Journal of Experimental Psychology 93 (2):219.
  9.  7
    Susan C. Johnson & Frances S. Chen (2011). Socioemotional Information Processing in Human Infants: From Genes to Subjective Construals. Emotion Review 3 (2):169-178.
    This article examines infant attachment styles from the perspective of cognitive and emotional subjectivity. We review new data that show that individual differences in infants’ attachment behaviors in the traditional Strange Situation are related to (a) infants’ subjective construals of infant—caregiver interactions, (b) their attention to emotional expressions, and (c) polymorphisms in the oxytocin receptor (OXTR) gene. We use these findings to argue that individual differences in infants’ attachment styles reflect, in part, the subjective outcomes of objective experience as filtered (...)
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  10.  1
    Raul Kompass (2004). Universal Temporal Structures in Human Information Processing: A Neural Principle and Psychophysical Evidence. In Christian Kaernbach, Erich Schroger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition. Psychology Press 451--480.
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  11.  1
    Walter Schneider & Richard M. Shiffrin (1977). Controlled and Automatic Human Information Processing: I. Detection, Search, and Attention. Psychological Review 84 (1):1-66.
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  12. Walter E. Schneider & Richard M. Shiffrin (1977). Controlled and Automatic Human Information Processing: I. Detection, Search, and Attention. Psychological Review 84:1-66.
     
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  13. 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
  14.  1
    Saul Sternberg (1979). Sensory Variables and Stages of Human Information Processing. Behavioral and Brain Sciences 2 (2):282-283.
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  15.  6
    Dale Dagenbach (1991). On the Premature Demise of Causal Functions for Consciousness in Human Information Processing. Behavioral and Brain Sciences 14 (4):675.
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  16.  1
    Donald A. Norman & David E. Rumelhart (1981). The LNR Approach to Human Information Processing. Cognition 10 (1-3):235-240.
  17.  4
    W. Trammell Neill (1993). Consciousness, Not Focal Attention, is Causally Effective in Human Information Processing. Behavioral and Brain Sciences 16 (2):406.
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  18.  1
    Enoch Callaway (1985). Event-Related Potentials and the Biology of Human Information Processing. Behavioral and Brain Sciences 8 (2):223-224.
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  19. Richard E. Mayer & Russell Revlin (1978). An Information Processing Framework for Research on Human Reasoning. In Russell Revlin & Richard E. Mayer (eds.), Human Reasoning. Distributed Solely by Halsted Press
     
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  20. Ian M. McDonough & Kaoru Nashiro (2014). Network Complexity as a Measure of Information Processing Across Resting-State Networks: Evidence From the Human Connectome Project. Frontiers in Human Neuroscience 8.
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  21.  2
    Michael J. Watkins (1981). Human Memory and the Information-Processing Metaphor. Cognition 10 (1-3):331-336.
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  22.  1
    G. Robert Grice (1977). Information-Processing Dynamics of Human Eyelid Conditioning. Journal of Experimental Psychology: General 106 (1):71-93.
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  23. Risto J. Ilmoniemi (1995). Magnetoencephalography-a Tool for Studies of Information Processing the Human Brain. In Heinz Lübbig (ed.), The Inverse Problem. Akademie Verlag Und Vch Weinheim 89--106.
     
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  24.  2
    William F. Prokasy & William C. Williams (1979). Information Processing and the Decremental Effect of Intermittent Reinforcement Schedules in Human Conditioning. Bulletin of the Psychonomic Society 14 (1):57-60.
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  25.  1
    Joseph Halpern & Leonard Poon (1971). Human Partial Reinforcement Extinction Effects: An Information Processing Development From Capaldi's Sequential Theory. Journal of Experimental Psychology 89 (1):207-227.
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  26. Yuriy A. Belov, Sergiy V. Tkachuk & V. Iamborak Roman (forthcoming). Mathematical and Computer Modelling and Research of Cognitive Processes in Human Brain. Part II. Applying of Computer Toolbox to Modelling of Perception and Recognition of Mental Pattern by the Example of Odor Information Processing, XI-Th International Conference KDS-2005 Proceedings V. 1, FOI-Commerce. [REVIEW] Sophia.
     
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  27. P. Donovan Gage (1985). Preserved and Impaired Information Processing Systems in Human Bitemporal Amnesiacs and Their Infrahuman Analogues: Role of Hippocampectomy. Journal of Mind and Behavior 6 (4):515-552.
     
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  28. Pd Gage (1985). Preserved and Impaired Information-Processing Systems in Human Bitemporal Amnesiacs and Their Infrahuman Analogs-Role of Hippocampectomy. Journal of Mind and Behavior 6 (4):515-551.
     
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  29.  18
    Malcolm Acock (1985). Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information. By David Marr. Modern Schoolman 62 (2):141-142.
  30. Simona Buetti, Deborah A. Cronin, Anna M. Madison, Zhiyuan Wang & Alejandro Lleras (2016). Towards a Better Understanding of Parallel Visual Processing in Human Vision: Evidence for Exhaustive Analysis of Visual Information. Journal of Experimental Psychology: General 145 (6):672-707.
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  31.  21
    Hagen Lindstädt (2001). More Nonconcavities in Information Processing Functions. Theory and Decision 51 (2/4):351-365.
    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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  32. W. Edwards, L. D. Phillips, William L. Hays & B. C. Goodman (1968). Probabilistic Information Processing Systems: Design and Evaluation. IEEE Transactions on Systems Science and Cybernetics 4 (3):248-265.
    A Probabilistic Information Processing System uses men and machines in a novel way to perform diagnostic information processing. Men estimate likelihood ratios for each datum and each pair of hypotheses under consideration or a sufficient subset of these pairs. A computer aggregates these estimates by means of Bayes' theorem of probability theory into a posterior distribution that reflects the impact of all available data on all hypotheses being considered. Such a system circumvents human conservatism in (...)
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  33.  10
    Nir Fresco & Michaelis Michael (2015). Information and Veridicality: Information Processing and the Bar-Hillel/Carnap Paradox. Philosophy of Science 83 (1):131-151.
    Floridi’s Theory of Strongly Semantic Information posits the Veridicality Thesis. One motivation is that it can serve as a foundation for information-based epistemology being an alternative to the tripartite theory of knowledge. However, the Veridicality thesis is false, if ‘information’ is to play an explanatory role in human cognition. Another motivation is avoiding the so-called Bar-Hillel/Carnap paradox. But this paradox only seems paradoxical, if ‘information’ and ‘informativeness’ are synonymous, logic is a theory of inference, or (...)
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  34.  3
    Gerald Heidegger (1992). Machines, Computers, Dialectics: A New Look at Human Intelligence. [REVIEW] AI and Society 6 (1):27-40.
    The more recent computer developments cause us to take a new look at human intelligence. The prevailing occidental view of human intelligence represents a very one-sided, logocentric approach, so that it is becoming more urgent to look for a more complete view. In this way, specific strengths of so-called human information processing are becoming particularly evident in a new way. To provide a general substantiation for this view, some elements of a phenomenological model for a (...)
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  35.  4
    Raymond M. Bergner (2006). Cognition: Unobservable Information Processing or Private Social Practice? Journal of Theoretical and Philosophical Psychology 26 (1-2):154-171.
    This paper presents a critique of cognitive psychology's micro-process program, as well as suggestions for a more scientifically and pragmatically viable approach to cognition. The paper proceeds in the following sequence. First, the mainstream point of view of contemporary cognitive psychology regarding cognitive micro-processes is summarized. Second, this view is criticized. Third and finally, cognitive science's neuropsychology program is discussed, not with respect to the considerable value of its findings, but with respect to the interpretation that would appropriately be placed (...)
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  36.  28
    A. Sloman & R. L. Chrisley, More Things Than Are Dreamt of in Your Biology: Information-Processing in Biologically Inspired Robots.
    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 includes information - processing systems, the ontology should reflect that. Scientists studying such systems need an ontology that includes the first - order ontology characterising physical phenomena, the second - order ontology characterising perceivers of physical phenomena, and a third order ontology characterising perceivers of perceivers, including introspectors. We argue that second (...)
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  37.  36
    Aaron Sloman, Altricial Self-Organising Information-Processing Systems ∗.
    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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  38.  11
    Shigeko Takahashi & Yoshimichi Ejima (2013). Contextual Information Processing of Brain in Art Appreciation. Behavioral and Brain Sciences 36 (2):158-159.
    A psycho-historical framework for the science of art appreciation will be an experimental discipline that may shed new light on the highest capacities of the human brain, yielding new scientific ways to talk about the art appreciation. The recent findings of the contextual information processing in the human brain make the concept of the art-historical context clear for empirical experimentation.
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  39. Alfredo Pereira Júnior (1991). The biological nature of the mental information-processing. Trans/Form/Ação 14:139-153.
    The nature of mental information-processing is studied in the context of the neo-mechanicist program for Biology, from the general form of information-processing in living systems, allosteric interactions, to information-processing in human brain. An instantiation of the self-organizing systems model is suggested, which leads to the hypothesis of the "supercode". This is a mental program, molecularly codified, responsable for, inter alia, linguistic competence. A comparison is done between this hypothesis and Jerry Fodor's "language of (...)
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  40. 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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  41.  1
    Edoardo Lombardi Vallauri & Viviana Masia (forthcoming). Facilitating Automation in Sentence Processing: The Emergence of Topic and Presupposition in Human Communication. Topoi:1-12.
    Human attention is limited in its capacity and duration. In language, this is manifested in many ways, but more conspicuously in the strategies by which information is distributed in utterances, that is, their information structures. We contend that the pragmatic categories of Topic and Presupposition precisely meet the necessity to modulate attentional resources on sentence contents, and they do this by “directing” certain contents to automatic and others to controlled processing mechanisms. We discuss experimental findings suggesting (...)
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  42.  14
    Michael Schulte-Mecklenbeck (2007). Information Processing as One Key for a Unification? Behavioral and Brain Sciences 30 (1):40-40.
    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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  43. Gualtiero Piccinini & Andrea Scarantino (2011). Information Processing, Computation, and Cognition. Journal of Biological Physics 37 (1):1-38.
    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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  44.  17
    Kenneth M. Sayre (1986). Intentionality and Information Processing: An Alternative Model for Cognitive Science. Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical (...)
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  45. Simon Baron-Cohen (1995). Mindblindness an Essay on Autism and "Theory of Mind". Monograph Collection (Matt - Pseudo).
     
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  46. 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.
    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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  47.  30
    Nir Fresco & Marty J. Wolf (2014). The Instructional Information Processing Account of Digital Computation. Synthese 191 (7):1469-1492.
    What is nontrivial digital computation? It is the processing of discrete data through discrete state transitions in accordance with finite instructional information. The motivation for our account is that many previous attempts to answer this question are inadequate, and also that this account accords with the common intuition that digital computation is a type of information processing. We use the notion of reachability in a graph to defend this characterization in memory-based systems and underscore the importance (...)
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  48. Jeffrey White (2012). An Information Processing Model of Psychopathy. In Angelo S. Fruili & Luisa D. Veneto (eds.), Moral Psychology. Nova 1-34.
    Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along 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 dysfunctions. An adequate portrait of psychopathy is (...)
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  49.  21
    Max Velmans (ed.) (1996). The Science of Consciousness: Psychological, Neuropsychological, and Clinical Reviews. Routledge.
    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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  50.  29
    Vinod Goel (1991). Notationality and the Information Processing Mind. Minds and Machines 1 (2):129-166.
    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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