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Artykuły w czasopismach na temat „Cognitive science”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Alberto Greco. "Cognitive science and cognitive sciences." Journal of Cognitive Science 13, no. 4 (2012): 471–85. http://dx.doi.org/10.17791/jcs.2012.13.4.471.

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Favela, Luis H., and Jonathan Martin. "“Cognition” and Dynamical Cognitive Science." Minds and Machines 27, no. 2 (2016): 331–55. http://dx.doi.org/10.1007/s11023-016-9411-4.

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Ross, Don. "Economics, cognitive science and social cognition." Cognitive Systems Research 9, no. 1-2 (2008): 125–35. http://dx.doi.org/10.1016/j.cogsys.2007.06.010.

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N N, Bindhu, and A. Jahitha Begum. "Educational Cognitive Science and Teacher Education." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 167–71. https://doi.org/10.21275/sr21904121615.

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Aasim, Shahzad. "Cognitive Dimensions: Where Science Meets Art." International Journal of Science and Research (IJSR) 8, no. 6 (2019): 2422–23. http://dx.doi.org/10.21275/sr24221151213.

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Sofronova, Lidia. "Historical Cognition and Cognitive Sciences: New in Russian Historiography." ISTORIYA 12, no. 8 (106) (2021): 0. http://dx.doi.org/10.18254/s207987840016952-6.

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The article presents an analytical review of the recent literature on cognitive history, especially the Russian collective monograph “Cognitive Sciences and Historical Cognition”, published in 2020. It traces the patterns typical for interdisciplinary research not only within the humanitarian disciplines, but also at the “borders” between the humanities and the “natural sciences”. The article highlights the paradoxical and productive nature of the “mutual interventions” of cognitive science and the humanities, which contribute to overcoming “atomism” both within the humanities and at the “fron

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7

Boring, Ronald Laurids. "Cognitive science." XRDS: Crossroads, The ACM Magazine for Students 10, no. 2 (2003): 1. http://dx.doi.org/10.1145/1027328.1027329.

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Wimer Brakel, Linda A. "Cognitive Science." Psychoanalytic Quarterly 64, no. 2 (1995): 417–28. http://dx.doi.org/10.1080/21674086.1995.11927458.

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Dartnall, Terry, Steve Torrance, Mark Coulson, et al. "Cognitive science." Metascience 5, no. 1 (1996): 95–166. http://dx.doi.org/10.1007/bf02988881.

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Stern, Elsbeth. "Cognitive Psychology and Cognitive Science." Contemporary Psychology: A Journal of Reviews 36, no. 6 (1991): 485–86. http://dx.doi.org/10.1037/029811.

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11

Leite, Diego Azevedo. "Neo-mechanistic explanatory integration for cognitive science: the problem of reduction remains." Sofia 8, no. 1 (2019): 124–45. http://dx.doi.org/10.47456/sofia.v8i1.23198.

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One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive scie

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12

Bradley, Dianne. "Cognitive science and the language/ cognition distinction." Aphasiology 3, no. 8 (1989): 755–57. http://dx.doi.org/10.1080/02687038908249045.

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13

Kozhevnikova, Larisa A. "Librarianship as Knowledge and Science." Bibliotekovedenie [Russian Journal of Library Science], no. 1 (February 24, 2011): 22–27. http://dx.doi.org/10.25281/0869-608x-2011-0-1-22-27.

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The paper deals with cognitive structure of library science. A cognitive determination of various types of library knowledge is analyzed. Knowledge of institutional character and scientific knowledge are determined. The author examines essential characteristics of scientific knowledge, its objective, and stages of cognition and cognitive values of library science.

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14

Wang, Yingxu, George Baciu, Yiyu Yao, et al. "Perspectives on Cognitive Informatics and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 1 (2010): 1–29. http://dx.doi.org/10.4018/jcini.2010010101.

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Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set

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15

WANNER, E. "A Science of Cognition: Method and Tactics in Cognitive Science." Science 228, no. 4695 (1985): 68. http://dx.doi.org/10.1126/science.228.4695.68.

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16

Wang, Yingxu. "On the Mathematical Theories and Cognitive Foundations of Information." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 3 (2015): 42–64. http://dx.doi.org/10.4018/ijcini.2015070103.

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A recent discovery in computer and software sciences is that information in general is a deterministic abstract quantity rather than a probability-based property of the nature. Information is a general form of abstract objects represented by symbolical, mathematical, communication, computing, and cognitive systems. Therefore, information science is one of the contemporary scientific disciplines collectively known as abstract sciences such as system, information, cybernetics, cognition, knowledge, and intelligence sciences. This paper presents the cognitive foundations, mathematical models, and

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17

Boster, James S. "Cognitive Anthropology Is a Cognitive Science." Topics in Cognitive Science 4, no. 3 (2012): 372–78. http://dx.doi.org/10.1111/j.1756-8765.2012.01204.x.

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18

Carey, Susan. "Cognitive science and science education." American Psychologist 41, no. 10 (1986): 1123–30. http://dx.doi.org/10.1037/0003-066x.41.10.1123.

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19

Stewart, James. "Cognitive science and science education." European Journal of Science Education 7, no. 1 (1985): 1–17. http://dx.doi.org/10.1080/0140528850070101.

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20

Kalia, Lipika Priyadarshini. "Computer Science is Cognitive Science." Advanced Science Letters 22, no. 2 (2016): 538–39. http://dx.doi.org/10.1166/asl.2016.6851.

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21

Miłkowski, Marcin, and Witold Wachowski. "Hutchins w obronie interdyscyplinarnych badań nad poznaniem." Philosophical Problems in Science (Zagadnienia Filozoficzne w Nauce), no. 72 (November 8, 2022): 127–65. https://doi.org/10.59203/zfn.72.593.

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The article presents the interdisciplinary approach of Edwin Hutchins, analyzing his conception of distributed cognition as probably the most important and lasting contribution of anthropology to the repertoire of theoretical tools in cognitive science. At the same time, this conception resulted in one of the most interesting relationships between cognitive science and social sciences. These relationships are made possible by the assumptions of Hutchins’ conception, which directly contribute to interdisciplinary collaboration. His account of distributed cognition has enormous potential, allowi

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22

Gabrić, Petar. "Konferencija: Cognitive Science." Drustvena istrazivanja 28, no. 2 (2019): 361–62. http://dx.doi.org/10.5559/di.28.2.11.

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23

Hovhannisyan, Garri. "Humanistic cognitive science." Humanistic Psychologist 46, no. 1 (2018): 30–52. http://dx.doi.org/10.1037/hum0000074.

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24

Carey, Susan. "Thescienceof cognitive science." Social Anthropology 23, no. 2 (2015): 204–7. http://dx.doi.org/10.1111/1469-8676.12119.

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25

Dean, Michael P. "Review: Cognitive Science." Perception 29, no. 6 (2000): 755–56. http://dx.doi.org/10.1068/p2906rvw.

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26

Rönnberg, Jerker, Mary Rudner, and Thomas Lunner. "Cognitive Hearing Science." Trends in Amplification 15, no. 3 (2011): 140–48. http://dx.doi.org/10.1177/1084713811409762.

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27

Johansen-Berg, Heidi. "Cognitive science fiction." Trends in Cognitive Sciences 5, no. 6 (2001): 233. http://dx.doi.org/10.1016/s1364-6613(00)01694-6.

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28

WALTZ, D. "Cognitive science news." Cognitive Science 9, no. 4 (1985): ii—iv. http://dx.doi.org/10.1016/s0364-0213(85)80017-3.

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29

Goldstone, Robert L. "Becoming Cognitive Science." Topics in Cognitive Science 11, no. 4 (2019): 902–13. http://dx.doi.org/10.1111/tops.12463.

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30

Carr, Thomas H. "Understanding Cognitive Science?" Contemporary Psychology: A Journal of Reviews 35, no. 11 (1990): 1079–80. http://dx.doi.org/10.1037/030592.

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31

Gabrić, Petar. "Konferencija: Cognitive Science." Društvena istraživanja: Journal for General Social Issues 28, no. 2 (2019): 361–62. https://doi.org/10.5559/di.28.2.11.

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Konferencija "Cognitive Science" održala se na Institutu "Jožef Stefan" u Ljubljani 11. listopada 2018. u sklopu 21. Međunarodne multikonferencije "Information Society". Konferenciju "Cognitive Science" organiziralo je Slovensko dru&scaron;tvo za kognitivnu znanost. Cilj konferencije bio je povezati stručnjake iz raznih disciplina koje se bave kognicijom te omogućiti razmjenu raznolikih i izazovnih ideja.

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32

DANZIGER, EVE. "Cognitive Dimensions of Social Science.:Cognitive Dimensions of Social Science." Journal of Linguistic Anthropology 14, no. 2 (2004): 290–92. http://dx.doi.org/10.1525/jlin.2004.14.2.290.

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33

Motz, Benjamin. "Cognitive science in popular film: the Cognitive Science Movie Index." Trends in Cognitive Sciences 17, no. 10 (2013): 483–85. http://dx.doi.org/10.1016/j.tics.2013.08.002.

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34

Castro, Nichol, and Cynthia S. Q. Siew. "Contributions of modern network science to the cognitive sciences: revisiting research spirals of representation and process." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2238 (2020): 20190825. http://dx.doi.org/10.1098/rspa.2019.0825.

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Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a goal that has greatly benefitted from the application of network science approaches. This paper provides an overview of how network science has been applied to the cognitive sciences, with a specific focus on the two research ‘spirals’ of cognitive sciences related to the representation and processes of the human mind. For each spiral, we first review classic papers in the psychological sciences that have drawn on graph-theoretic ideas or frameworks before the advent of modern network science approaches.

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35

Siew, Cynthia S. Q., Dirk U. Wulff, Nicole M. Beckage, Yoed N. Kenett, and Ana Meštrović. "Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics." Complexity 2019 (June 17, 2019): 1–24. http://dx.doi.org/10.1155/2019/2108423.

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Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different domains are strongly based on a network perspective, the application of network science methodologies to quantitatively study cognition has so far been limited in scope. This review demonstrates how network science approaches have been applied to the study of human cognition and how network science can uniquely address and provide novel insight on important questions related to the complexity of cognitive systems and the processes that occur

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36

Chokr, Nader N. "Mind, consciousness, and cognition: Phenomenology vs. cognitive science." Husserl Studies 9, no. 3 (1992): 179–97. http://dx.doi.org/10.1007/bf00142815.

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Asma, Stephen. "Adaptive Imagination: Toward a Mythopoetic Cognitive Science." Evolutionary Studies in Imaginative Culture 5, no. 2 (2021): 1–32. http://dx.doi.org/10.26613/esic.5.2.236.

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Abstract A mythopoetic paradigm or perspective sees the world primarily as a dramatic story of competing personal intentions, rather than a system of objective impersonal laws. Asma (2017) argued that our contemporary imaginative cognition is evolutionarily conserved-it has structural and functional similarities to premodern Homo sapiens’s cognition. This article will (i) outline the essential features of mythopoetic cognition or adaptive imagination, (ii) delineate the adaptive sociocultural advantages of mythopoetic cognition, (iii) explain the phylogenetic and ontogenetic mechanisms that gi

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38

Powell, Janet M., Earl Hunt, and Mary Pepping. "Collaboration Between Cognitive Science and Cognitive Rehabilitation." Journal of Head Trauma Rehabilitation 19, no. 3 (2004): 266–76. http://dx.doi.org/10.1097/00001199-200405000-00007.

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39

Chater, Nick. "Can cognitive science create a cognitive economics?" Cognition 135 (February 2015): 52–55. http://dx.doi.org/10.1016/j.cognition.2014.10.015.

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Crippen, Matthew. "Embodied Cognition and Perception: Dewey, Science and Skepticism." Contemporary Pragmatism 14, no. 1 (2017): 112–34. http://dx.doi.org/10.1163/18758185-01401007.

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This article examines how Modern theories of mind remain even in some materialistic and hence ontologically anti-dualistic views; and shows how Dewey, anticipating Merleau-Ponty and 4E cognitive scientists, repudiates these theories. Throughout I place Dewey’s thought in the context of scientific inquiry, both recent and historical and including the cognitive as well as traditional sciences; and I show how he incorporated sciences of his day into his thought, while also anticipating enactive cognitive science. While emphasizing Dewey’s continued relevance, my main goal is to show how his scien

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41

Lopes, Jesse. "Cognitive Science, Phenomenology, and the Unity of Science." Studia Phaenomenologica 24 (2024): 81–102. http://dx.doi.org/10.5840/studphaen2024245.

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Hume once argued the basic science to be not physics but “the science of man” and the foundation of this science to be the empiricist mechanism of association governed by the law of similarity in appearance—now more popular than ever in the form of artificial neural networks. I update Hume’s picture by showing phenomenology to be centrally concerned with providing a unifying basis for all the sciences (including physics) by going beyond the psychology of associationism (passive synthesis) to reveal phenomena that are irreducibly syntactic (not associative) in structure. I therefore argue that

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42

Adey, Philip. "Science education research and cognitive science." Research in Science Education 25, no. 1 (1995): 101–13. http://dx.doi.org/10.1007/bf02356463.

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Busemeyer, Jerome R. "Cognitive science contributions to decision science." Cognition 135 (February 2015): 43–46. http://dx.doi.org/10.1016/j.cognition.2014.11.010.

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Sedlacek, Miroslav. "Models of Mind That Are Implied by Cognitive Science." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 2, no. 5 (2017): 33–36. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.25.3005.

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Three models of mind were proposed during the history of cognitive science: functionalist, psychological, and neural model. The functionalist model of mind is based on symbol manipulation (computation). This model has two versions: the conception of mind as an innate information processor and problem solver, and mind as innate cognitive and visual system. A psychological model of mind is the extension by “common sense”. The alternative is mind as a cognitive and visual system that is based mostly on manipulation of internal mental data. The neural model is the only model of embodied mind. It h

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45

Elin, Mirza Niaz Zaman. "Exploring the Quantum Nature of Human Cognition: Integrating Quantum Cognitive Science and Advanced Cognitive Assessment through the Verbovisual Cognitive Function Screening Tool (VCFST)." International Journal of Interdisciplinary Research Methods 10, no. 2 (2023): 49–63. http://dx.doi.org/10.37745/ijirm.14/vol10n24963.

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The Verbovisual Cognitive Function Screening Tool (VCFST) is a cognitive screening tool that aims to evaluate cognitive abilities by drawing upon established theories such as dual-coding theory, common coding theory, propositional theory, and ideomotor theory. However, recent developments in quantum cognitive science offer promising applications to enhance the assessment model. This article explores the utilization of quantum cognition concepts within the VCFST and discusses its implications for cognitive assessment. Quantum cognitive science is an emerging interdisciplinary field that applies

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46

Wang, Yingxu, Robert C. Berwick, Simon Haykin, et al. "Cognitive Informatics and Cognitive Computing in Year 10 and Beyond." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 4 (2011): 1–21. http://dx.doi.org/10.4018/jcini.2011100101.

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Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the pl

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47

Rodrigues, Humberto, Antonio Jesús Molina-Fernandez2, Richard Lamb, Ikeseon Choi, and Tosha Owens. "Unravelling Student Learning: Exploring Nonlinear Dynamics in Science Education." International Journal of Psychology and Neuroscience 9, no. 3 (2023): 118–37. http://dx.doi.org/10.56769/ijpn09311.

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Abstract Background: Traditional education research often relies on static linear approaches to measure dynamic systems involved in student information processing, overlooking the complexity of learning. Emerging research in related fields acknowledges the highly dynamic and nonlinear nature of cognitive states and information processing. Current educational research methods, predominantly based on quantitative and qualitative "snapshot" examinations, inadequately capture the dynamic and nonlinear aspects of cognitive processing during learning. Objective: This study aims to explore nonlinear

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48

Wilson, Patrick, and Wayne W. Reeves. "Cognition and Complexity: The Cognitive Science of Managing Complexity." Journal of Education for Library and Information Science 38, no. 3 (1997): 232. http://dx.doi.org/10.2307/40324209.

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Clark, Andy, Zenon W. Pylyshyn, and Alvin T. Goldman. "Computation and Cognition: Toward a Foundation for Cognitive Science." Philosophical Quarterly 38, no. 153 (1988): 526. http://dx.doi.org/10.2307/2219716.

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TOMONAGA, MASAKI, TAKATSUNE KUMADA, and SAKIKO YOSHIKAWA. "Visual cognition from the standpoint of comparative cognitive science." Japanese Journal of Animal Psychology 52, no. 1 (2002): 29–44. http://dx.doi.org/10.2502/janip.52.29.

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