Results for 'selection concept learning task, objective identification of strategy'

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  1.  25
    Objective identification of strategy on a selection concept learning task.Edward S. Johnson - 1971 - Journal of Experimental Psychology 90 (1):167.
  2.  7
    Effect of number of response categories on dimension selection, paired-associate learning, and complete learning in a conjunctive concept identification task.William J. Thomson - 1972 - Journal of Experimental Psychology 93 (1):95.
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  3.  10
    The institutionalization of global strategies for the transformation of society and education in the context of critical theory.Viktor V. Zinchenko - 2015 - Anthropological Measurements of Philosophical Research 7:50-66.
    The purpose. Critical social philosophy of education strives to provide a radical critique of existing models of education in the so-called Western models of democracy, creating progressive alternative models. In this context, the proposed integrative metatheory, which is based on classical and modern sources, concepts, aims for a comprehensive understanding and reconstruction of the phenomenon of education. One of the main tasks in the sphere of education’s democratization today, therefore, is to bring to education the results of restructuring and democratization (...)
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  4.  10
    The institutionalization of global strategies for the transformation of society and education in the context of critical theory.Viktor V. Zinchenko - 2015 - Anthropological Measurements of Philosophical Research 7:50-66.
    The purpose. Critical social philosophy of education strives to provide a radical critique of existing models of education in the so-called Western models of democracy, creating progressive alternative models. In this context, the proposed integrative metatheory, which is based on classical and modern sources, concepts, aims for a comprehensive understanding and reconstruction of the phenomenon of education. One of the main tasks in the sphere of education’s democratization today, therefore, is to bring to education the results of restructuring and democratization (...)
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  5.  25
    Teaching & Learning Guide for: Full Disclosure of the ‘Raw Data’ of Research on Humans: Citizens’ Rights, Product Manufacturers’ Obligations and the Quality of the Scientific Database.Dennis J. Mazur - 2011 - Philosophy Compass 6 (2):152-157.
    This guide accompanies the following article(s): ‘Full Disclosure of the “Raw Data” of Research on Humans: Citizens’ Rights, Product Manufacturer’s Obligations and the Quality of the Scientific Database.’Philosophy Compass 6/2 (2011): 90–99. doi: 10.1111/j.1747‐9991.2010.00376.x Author’s Introduction Securing consent (and informed consent) from patients and research study participants is a key concern in patient care and research on humans. Yet, the legal doctrines of consent and informed consent differ in their applications. In patient care, the judicial doctrines of consent and informed (...)
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  6.  10
    Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model.Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang & Zhengpeng Hu - 2022 - Complexity 2022:1-9.
    Lentinus edodes sticks are susceptible to mold infection during the culture process, and manual identification of infected sticks is heavy, untimely, and inaccurate. Aiming to solve this problem, this paper proposes a method for identifying infected Lentinus edodes sticks based on improved ResNeXt-50 deep transfer learning. First, a dataset of Lentinus edodes stick diseases was constructed. Second, based on the ResNeXt-50 model and the pretraining weight of the ImageNet dataset, the influence of pretraining weight parameters on recognition accuracy (...)
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  7.  14
    The Mediation of Intentional Judgments by Unconscious Perceptions: The Influences of Task Strategy, Task Preference, Word Meaning, and Motivation.Michael Snodgrass, Howard Shevrin & Michael Kopka - 1993 - Consciousness and Cognition 2 (3):169-193.
    In two experiments subjects attempted to identify words presented below the objective threshold using two task strategies emphasizing either allowing a word to pop into their heads or looking carefully at the stimulus field . Words were selected to represent both meaningful and structural dimensions. We also asked subjects to indicate their strategy preference and to rate their motivation to perform well. In the absence of conscious perception, both strategy preference and word meaning interacted with strategy (...)
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  8.  12
    Conditional and biconditional rule difficulty with attribute identification, rule learning, and complete learning task.Leonard M. Giambra - 1970 - Journal of Experimental Psychology 86 (2):250.
  9.  12
    Past Gaming Experience and Cognition as Selective Predictors of Novel Game Learning Across Different Gaming Genres.Evan T. Smith, Bhargavi Bhaskar, Alex Hinerman & Chandramallika Basak - 2020 - Frontiers in Psychology 11.
    Past experience with video games and cognitive abilities have been hypothesized to independently facilitate a greater ability to learn new video games and other complex tasks. The present study was conducted to examine this “learning to learn” hypothesis. We examined the predictive effects of gaming habits and cognitive abilities on learning of two novel video games in 107 participants. One video game was from the action genre, and the other was from the strategy genre. Hours spent gaming (...)
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  10.  41
    A Biologically Plausible Action Selection System for Cognitive Architectures: Implications of Basal Ganglia Anatomy for Learning and Decision‐Making Models.Andrea Stocco - 2018 - Cognitive Science 42 (2):457-490.
    Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's (...)
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  11.  9
    Perceptual Grouping Strategies in a Letter Identification Task: Strategic Connections, Selection, and Segmentation.Maria Kon & Gregory Francis - 2022 - Attention, Perception, and Psychophysics 84:1944-1963.
    Although perceptual grouping has been widely studied, its mechanisms remain poorly understood. We propose a neural model of grouping that, through top-down control of its circuits, implements a grouping strategy involving both a connection strategy (which elements to connect) and a selection strategy (that defines spatiotemporal properties of a selection signal to segment target elements and facilitate identification). We apply the model to a letter discrimination task that investigated relationships among uniform connectedness and the (...)
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  12.  8
    Learning strategies in the first year of Stomatology in the University of Medical Sciences Camagüey.Kenia Betancourt Gamboa & Mayelin Soler Herrera - 2018 - Humanidades Médicas 18 (3):489-503.
    RESUMEN La educación médica superior tiene la responsabilidad social de formar educandos autónomos, independientes y autorregulados. Por ello las estrategias de aprendizaje permiten la adquisición de información y el establecimiento de relaciones a partir del conocimiento previo; son procesos de toma de decisiones, consciente e intencional. Objetivo: Exponer las necesidades del desarrollo de estrategias de aprendizaje en los estudiantes de primer año de Estomatología. Método: Se realizó una investigación descriptiva transversal. El universo estuvo constituido por los estudiantes de 1er año (...)
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  13.  25
    A strategy for planning basic research.T. J. Gordon & M. J. Raffensperger - 1969 - Philosophy of Science 36 (2):205-218.
    Scientific tradition holds that it is essential to permit individual researchers almost complete freedom in their selection of research projects. As a result, structured research planning has not played a major role in determining the course of the sciences. By “structural research planning” we mean the methodical establishment of goals, and the identification of research routines which apparently accord priority to highest value goals, while minimizing the cost and time of their attainment. With increasing competition for limited fiscal (...)
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  14.  15
    Effect of number of values and irrelevant dimensions on dimension selection and associative learning in a multiple concept problem.J. Douglas Overstreet & J. L. Dunham - 1969 - Journal of Experimental Psychology 79 (2p1):265.
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  15.  13
    Learning with regard to irrelevant stimulus cues during concept identification.Robert H. Rittle - 1970 - Journal of Experimental Psychology 84 (1):148.
  16. When, What, and How Much to Reward in Reinforcement Learning-Based Models of Cognition.Christian P. Janssen & Wayne D. Gray - 2012 - Cognitive Science 36 (2):333-358.
    Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other interval of task performance), what (the objective function: e.g., performance time or performance accuracy), and how much (the magnitude: with binary, categorical, or continuous values). (...)
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  17.  27
    A view on the future of an international philosophy of music education: A plea for a comparative strategy.Frede V. Nielsen - 2006 - Philosophy of Music Education Review 14 (1):7-14.
    In lieu of an abstract, here is a brief excerpt of the content:A View on the Future of an International Philosophy of Music Education:A Plea for a Comparative StrategyFrede V. NielsenIn the preface to the revised edition of my book, Almen musikdidaktik (The General Didaktik of Music) published in 1998, I wrote that the bibliography had been supplemented with a great deal of music education literature that had been published since the first edition of the book came out in 1994. (...)
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  18. Objects as Temporary Autonomous Zones.Tim Morton - 2011 - Continent 1 (3):149-155.
    continent. 1.3 (2011): 149-155. The world is teeming. Anything can happen. John Cage, “Silence” 1 Autonomy means that although something is part of something else, or related to it in some way, it has its own “law” or “tendency” (Greek, nomos ). In their book on life sciences, Medawar and Medawar state, “Organs and tissues…are composed of cells which…have a high measure of autonomy.”2 Autonomy also has ethical and political valences. De Grazia writes, “In Kant's enormously influential moral philosophy, autonomy (...)
     
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  19.  24
    Hypothesis behavior in a concept-learning task with probabilistic feedback.Steven P. Rogers & Robert C. Haygood - 1968 - Journal of Experimental Psychology 76 (1p1):160.
  20.  83
    The development of features in object concepts.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):1-17.
    According to one productive and influential approach to cognition, categorization, object recognition, and higher level cognitive processes operate on a set of fixed features, which are the output of lower level perceptual processes. In many situations, however, it is the higher level cognitive process being executed that influences the lower level features that are created. Rather than viewing the repertoire of features as being fixed by low-level processes, we present a theory in which people create features to subserve the representation (...)
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  21.  10
    Роль інформаційно-комунікаційних технологій у системі формування професійних компетенцій інженерів.T. H. Vasilenko & O. H. Dobrovolska - 2018 - Гуманітарний Вісник Запорізької Державної Інженерної Академії 74:110-121.
    Actuality of the conducted research is practically oriented character. Without the use of information and communication technologies in the field of higher education, it is impossible to carry out qualitative training of specialists in engineering, the results of which are necessary for the implementation of a national strategy for modernizing the economy and forming a progressive state of European type. Formulation of the task - the specificity of the use of ICT in the system of higher education has not (...)
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  22.  13
    Concept identification as a function of completeness and probability of information feedback.Lyle E. Bourne Jr & R. Brian Pendleton - 1958 - Journal of Experimental Psychology 56 (5):413.
  23.  67
    The Revenge of Ecological Rationality: Strategy-Selection by Meta-Induction Within Changing Environments.Gerhard Schurz & Paul D. Thorn - 2016 - Minds and Machines 26 (1-2):31-59.
    According to the paradigm of adaptive rationality, successful inference and prediction methods tend to be local and frugal. As a complement to work within this paradigm, we investigate the problem of selecting an optimal combination of prediction methods from a given toolbox of such local methods, in the context of changing environments. These selection methods are called meta-inductive strategies, if they are based on the success-records of the toolbox-methods. No absolutely optimal MI strategy exists—a fact that we call (...)
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  24.  17
    The selective deployment of AI in healthcare.Robert Vandersluis & Julian Savulescu - 2024 - Bioethics 38 (5):391-400.
    Machine‐learning algorithms have the potential to revolutionise diagnostic and prognostic tasks in health care, yet algorithmic performance levels can be materially worse for subgroups that have been underrepresented in algorithmic training data. Given this epistemic deficit, the inclusion of underrepresented groups in algorithmic processes can result in harm. Yet delaying the deployment of algorithmic systems until more equitable results can be achieved would avoidably and foreseeably lead to a significant number of unnecessary deaths in well‐represented populations. Faced with this (...)
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  25.  8
    Sense as an objective integrity: a phenomenological approach.А. А Шиян - 2023 - Philosophy Journal 16 (2):33-39.
    The article focuses on the concept of sense in Husserl’s phenomenology. The author points to the presence of different interpretations of “sense” in phenomenology, and dwells in detail on the one that is consonant with the theme of this panel discussion. In this regard, the author refers to the introduction of the concept of sense as the core of the noema in the first book of “Ideas for Pure Phenomenology and Phenomenological Philosophy”. In accordance with the chosen interpretation (...)
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  26.  12
    Interaction of rule and attribute learning in in identification of concepts involving binary rules.Irwin D. Nahinsky, Arwa Aamiry & Richard M. Baird - 1976 - Bulletin of the Psychonomic Society 7 (1):81-83.
  27.  38
    Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real‐Time, Dynamic Decision‐Making Task.Catherine Sibert, Wayne D. Gray & John K. Lindstedt - 2017 - Topics in Cognitive Science 9 (2):374-394.
    Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals (...)
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  28.  5
    High-Speed Videography Reveals How Honeybees Can Turn a Spatial Concept Learning Task Into a Simple Discrimination Task by Stereotyped Flight Movements and Sequential Inspection of Pattern Elements.Marie Guiraud, Mark Roper & Lars Chittka - 2018 - Frontiers in Psychology 9.
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  29.  24
    Strategies, types of solution, and stage of learning.Margaret J. Peterson & Francis B. Colavita - 1964 - Journal of Experimental Psychology 68 (6):578.
  30.  15
    The Use of Classmates as a Self-Motivation Strategy From the Perspective of Self-Regulated Learning.José Manuel Suárez, Ana Patricia Fernández & Ángela Zamora - 2019 - Frontiers in Psychology 10.
    It can be stated that self-regulated learning (SRL) brings broad benefits to the process of students' learning and studying. However, research has yet to be undertaken in relation to one of its components, namely self-regulation of motivation and affectivity. The main objectives of this study are to examine the use of self-motivation strategies that involve classmates and to obtain models on the influence of academic goals and self-efficacy on such self-motivation strategies. To this end, was conducted a study (...)
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  31.  36
    Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real‐Time, Dynamic Decision‐Making Task.Catherine Sibert, Wayne D. Gray & John K. Lindstedt - 2016 - Topics in Cognitive Science 8 (4).
    Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals (...)
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  32.  14
    The selection of strategies in cue learning.Frank Restle - 1962 - Psychological Review 69 (4):329-343.
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  33.  13
    Stimulus similarity and the effect of reinforcement in a pseudo-concept identification task.Juliet P. Shaffer & Robert K. Remple - 1966 - Journal of Experimental Psychology 71 (4):593.
  34.  39
    The Concept of “Metaemotion”: What is There to Learn From Research on Metacognition?Elisabeth Norman & Bjarte Furnes - 2016 - Emotion Review 8 (2):187-193.
    We first present a selection of vignette examples from empirical psychological research to illustrate how the phenomenon of metaemotion is studied within different domains of psychology. We then present a theoretical distinction which has been made between three facets of metacognition, namely metacognitive experiences, metacognitive knowledge, and metacognitive strategies. Referring back to the vignette examples from metaemotion research, we argue that a similar distinction can be drawn between three facets of metaemotion, namely metaemotional experiences, metaemotional knowledge, and metaemotional strategies. (...)
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  35.  11
    "The selection of strategies in cue learning": Errata.Frank Restle - 1962 - Psychological Review 69 (6):552-552.
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  36.  64
    Superstition and belief as inevitable by-products of an adaptive learning strategy.Jan Beck & Wolfgang Forstmeier - 2007 - Human Nature 18 (1):35-46.
    The existence of superstition and religious beliefs in most, if not all, human societies is puzzling for behavioral ecology. These phenomena bring about various fitness costs ranging from burial objects to celibacy, and these costs are not outweighed by any obvious benefits. In an attempt to resolve this problem, we present a verbal model describing how humans and other organisms learn from the observation of coincidence (associative learning). As in statistical analysis, learning organisms need rules to distinguish between (...)
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  37.  30
    A novel deep learning-based brain tumor detection using the Bagging ensemble with K-nearest neighbor.G. Komarasamy & K. V. Archana - 2023 - Journal of Intelligent Systems 32 (1).
    In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In the medical industry, MRI images are commonly used to analyze and diagnose tumor growth in the body. A number of successful brain tumor identification and classification procedures have been developed by various experts. Existing approaches face a number of obstacles, including detection time, accuracy, and tumor size. Early detection of brain tumors improves options for treatment and patient survival rates. Manually segmenting brain tumors from a (...)
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  38.  18
    Due Process in Dual Process: Model‐Recovery Simulations of Decision‐Bound Strategy Analysis in Category Learning.Charlotte E. R. Edmunds, Fraser Milton & Andy J. Wills - 2018 - Cognitive Science 42 (S3):833-860.
    Behavioral evidence for the COVIS dual‐process model of category learning has been widely reported in over a hundred publications (Ashby & Valentin, ). It is generally accepted that the validity of such evidence depends on the accurate identification of individual participants' categorization strategies, a task that usually falls to Decision Bound analysis (Maddox & Ashby, ). Here, we examine the accuracy of this analysis in a series of model‐recovery simulations. In Simulation 1, over a third of simulated participants (...)
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  39.  12
    Object‐Label‐Order Effect When Learning From an Inconsistent Source.Timmy Ma & Natalia L. Komarova - 2019 - Cognitive Science 43 (8):e12737.
    Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate how learners handle such situations. We focus on the setting where a learner receives and processes a sequence of utterances to master associations between objects and (...)
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  40.  17
    Bioclimatic Eco-Renovation Concept Design and Strategies. The Use of Different Materials.Klodjan Xhexhi - 2023 - In Ecovillages and Ecocities. Bioclimatic Applications from Tirana, Albania. Switzerland: Springer Nature Switzerland AG. pp. 191-224.
    The main bioclimatic passive strategies include optimization of the use of natural light, reducing the need for artificial light, maximizing the solar gain using thermal traps and promotion of natural ventilation in order to avoid the need for air conditioning for cooling. The usage of cool air passing through the underground tunnels located in the selected neighborhood in Tirana in order to enhance the cooling process is of huge importance. On the other hand, the building must benefit from the passive (...)
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  41.  55
    Mind the physics: Physics of mind.Andrew And Alexander Fingelkurts - 2018 - Physics of Life Reviews 25:75-77.
    The target paper of Schoeller, Perlovsky, and Arseniev is an essential and timely contribution to a current shift of focus in neuroscience aiming to merge neurophysiological, psychological and physical principles in order to build the foundation for the physics of mind. Extending on previous work of Perlovsky et al. and Badre, the authors of the target paper present interesting mathematical models of several basic principles of the physics of mind, such as perception and cognition, concepts and emotions, instincts and (...). Their conceptualization helps to clarify the distinction between conscious and unconscious aspects of mind that is often neglected and further provide a clear description of the mental hierarchy, which extends from physical objects in the physical world to abstract ideas in the mental/subjective realm. While we agree that identification of a few fundamental principles is a first step toward developing the physics of the mind, and we concur with the selection of those principles in the target review paper, we think that the theory of the physics of mind would much benefit from considering also the most basic principles that are common for the physics/matter/brain and the mind/subjectivity/cognition. In this respect, such basic principles as time and space, as well as criticality, self-organization, and emergence seem to be the most interesting. (shrink)
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  42.  12
    Surrogate-based optimization of learning strategies for additively regularized topic models.Maria Khodorchenko, Nikolay Butakov, Timur Sokhin & Sergey Teryoshkin - 2023 - Logic Journal of the IGPL 31 (2):287-299.
    Topic modelling is a popular unsupervised method for text processing that provides interpretable document representation. One of the most high-level approaches is additively regularized topic models (ARTM). This method features better quality than other methods due to its flexibility and advanced regularization abilities. However, it is challenging to find an optimal learning strategy to create high-quality topics because a user needs to select the regularizers with their values and determine the order of application. Moreover, it may require many (...)
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  43.  35
    The physics of representation.Russell A. Poldrack - 2020 - Synthese 199 (1-2):1307-1325.
    The concept of “representation” is used broadly and uncontroversially throughout neuroscience, in contrast to its highly controversial status within the philosophy of mind and cognitive science. In this paper I first discuss the way that the term is used within neuroscience, in particular describing the strategies by which representations are characterized empirically. I then relate the concept of representation within neuroscience to one that has developed within the field of machine learning. I argue that the recent success (...)
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  44.  41
    Object Concepts in the Chemical Senses.Richard J. Stevenson - 2014 - Cognitive Science 38 (7):1360-1383.
    This paper examines the applicability of the object concept to the chemical senses, by evaluating them against a set of criteria for object-hood. Taste and chemesthesis do not generate objects. Their parts, perceptible from birth, never combine. Orthonasal olfaction (sniffing) presents a strong case for generating objects. Odorants have many parts yet they are perceived as wholes, this process is based on learning, and there is figure-ground segregation. While flavors are multimodal representations bound together by learning, there (...)
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  45.  11
    Effects of delay of information feedback and task complexity on the identification of concepts.Lyle E. Bourne Jr - 1957 - Journal of Experimental Psychology 54 (3):201.
  46.  17
    Concept learning in a probabilistic language-of-thought. How is it possible and what does it presuppose?Matteo Colombo - 2023 - Behavioral and Brain Sciences 46:e271.
    Where does a probabilistic language-of-thought (PLoT) come from? How can we learn new concepts based on probabilistic inferences operating on a PLoT? Here, I explore these questions, sketching a traditional circularity objection to LoT and canvassing various approaches to addressing it. I conclude that PLoT-based cognitive architectures can support genuine concept learning; but, currently, it is unclear that they enjoy more explanatory breadth in relation to concept learning than alternative architectures that do not posit any LoT.
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  47.  6
    Effect of initial instance on attribute identification of concepts using a selection procedure.John E. Taplin - 1971 - Journal of Experimental Psychology 88 (2):177.
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  48. Cross‐Situational Learning of Phonologically Overlapping Words Across Degrees of Ambiguity.Karen E. Mulak, Haley A. Vlach & Paola Escudero - 2019 - Cognitive Science 43 (5):e12731.
    Cross‐situational word learning (XSWL) tasks present multiple words and candidate referents within a learning trial such that word–referent pairings can be inferred only across trials. Adults encode fine phonological detail when two words and candidate referents are presented in each learning trial (2 × 2 scenario; Escudero, Mulak, & Vlach, ). To test the relationship between XSWL task difficulty and phonological encoding, we examined XSWL of words differing by one vowel or consonant across degrees of within‐learning (...)
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  49.  9
    A Law-Constitutive Explanation of Fundamental Material Objects and “Bodies that Surround Us”.Mladen Domazet - 2011 - Prolegomena 10 (1):67-85.
    What becomes of our clearest theories of explanation, when faced with the unpalatable quantum phenomena that seem to undermine the direct conceptual connection between the fundamental material entities and the self-standing material objects of everyday parlance? The general explanatory theory advocates unification of explanatory concepts with everyday discourse, identification of essentially similar characteristics between direct experience and the hypothesised explanatory ontology, and a conceptualisation of phenomena in terms of objects enduring causally regulated change. On the other hand quantum theory (...)
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  50.  7
    The human being in contemporary philosophical conceptions.Nikolay Omelchenko (ed.) - 2009 - Newcastle upon Tyne: Cambridge Scholars Press.
    This book is a collection of the selected proceedings of the 4th International Conference "Human Being in Contemporary Philosophical Conceptions," which was held under the patronage of UNESCO at Volgograd State University (Russia) on May 28-31, 2007. In the letter to the organizers, Mr. Koïchiro Matsuura wrote: "I should like to congratulate you on this important initiative to promote philosophical reflection, which is one of the central objectives of UNESCO's Intersectoral Strategy on Philosophy." There is an interesting fact: the (...)
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