Journal articles on the topic 'Distributed cognition'

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1

Kirsh, David. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 249–62. http://dx.doi.org/10.1075/pc.14.2.06kir.

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Humans are closely coupled with their environments. They rely on being ‘embedded’ to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence of others, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can be converted to metrics, in order to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity, and psychology.
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Harnad, Stevan, and Itiel E. Dror. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 209–13. http://dx.doi.org/10.1075/pc.14.2.03har.

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Some of the papers in this Special Issue distribute cognition between what is going on inside individual cognizers’ heads and their outside worlds; others distribute cognition among different individual cognizers. Turing’s criterion for cognition was for individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.
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Sutton, John. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 235–47. http://dx.doi.org/10.1075/pc.14.2.05sut.

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Synthesizing the domains of investigation highlighted in current research in distributed cognition and related fields, this paper offers an initial taxonomy of the overlapping types of resources which typically contribute to distributed or extended cognitive systems. It then outlines a number of key dimensions on which to analyse both the resulting integrated systems and the components which coalesce into more or less tightly coupled interaction over the course of their formation and renegotiation.
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4

Harnad, Stevan. "Distributed processes, distributed cognizers, and collaborative cognition." Cognitive Technologies and the Pragmatics of Cognition 13, no. 3 (December 20, 2005): 501–14. http://dx.doi.org/10.1075/pc.13.3.06har.

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Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able to do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing (“know-how”).This is called the Turing Test. It cannot test whether a process can generate feeling, hence thinking — only whether it can generate doing. The processes that generate thinking and know-how are “distributed” within the heads of thinkers, but not across thinkers’ heads. Hence there is no such thing as distributed cognition, only collaborative cognition. Email and the Web have spawned a new form of collaborative cognition that draws upon individual brains’ real-time interactive potential in ways that were not possible in oral, written or print interactions.
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Angeli, Charoula. "Distributed Cognition." Journal of Research on Technology in Education 40, no. 3 (March 2008): 271–79. http://dx.doi.org/10.1080/15391523.2008.10782508.

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Hollan, James, Edwin Hutchins, and David Kirsh. "Distributed cognition." ACM Transactions on Computer-Human Interaction 7, no. 2 (June 2000): 174–96. http://dx.doi.org/10.1145/353485.353487.

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7

Giere, Ronald N., and Barton Moffatt. "Distributed Cognition:." Social Studies of Science 33, no. 2 (April 2003): 301–10. http://dx.doi.org/10.1177/03063127030332017.

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8

Hoorn, Johan F. "Distributed cognition." Cognition, Technology & Work 7, no. 1 (January 29, 2005): 5. http://dx.doi.org/10.1007/s10111-004-0172-0.

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9

Giere, Ronald N. "Distributed Cognition without Distributed Knowing." Social Epistemology 21, no. 3 (July 2007): 313–20. http://dx.doi.org/10.1080/02691720701674197.

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10

Berninghaus, Siegfried K. "Distributed Cognition (Comment)." Conferences on New Political Economy 25, no. 1 (July 1, 2008): 309–14. http://dx.doi.org/10.1628/186183408785112476.

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11

Osbeck, Lisa M., and Nancy J. Nersessian. "Situating distributed cognition." Philosophical Psychology 27, no. 1 (August 19, 2013): 82–97. http://dx.doi.org/10.1080/09515089.2013.829384.

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12

Button, Graham. "Against `Distributed Cognition'." Theory, Culture & Society 25, no. 2 (March 2008): 87–104. http://dx.doi.org/10.1177/0263276407086792.

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13

Green, Adam. "Evaluating distributed cognition." Synthese 191, no. 1 (June 12, 2013): 79–95. http://dx.doi.org/10.1007/s11229-013-0305-1.

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14

Ludwig, Kirk. "Is Distributed Cognition Group Level Cognition?" Journal of Social Ontology 1, no. 2 (September 1, 2015): 189–224. http://dx.doi.org/10.1515/jso-2015-0001.

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AbstractThis paper shows that recent arguments from group problem solving and task performance to emergent group level cognition that rest on the social parity and related principles are invalid or question begging. The paper shows that standard attributions of problem solving or task performance to groups require only multiple agents of the outcome, not a group agent over and above its members, whether or not any individual member of the group could have accomplished the task independently.
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Zhang, Jiajie, and Vimla L. Patel. "Distributed cognition, representation, and affordance." Distributed Cognition 14, no. 2 (September 21, 2006): 333–41. http://dx.doi.org/10.1075/pc.14.2.12zha.

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This article describes a representation-based framework of distributed cognition. This framework considers distributed cognition as a cognitive system whose structures and processes are distributed between internal and external representations, across a group of individuals, and across space and time. The major issue for distributed research, under this framework, are the distribution, transformation, and propagation of information across the components of the distributed cognitive system and how they affect the performance of the system as a whole. To demonstrate the value of this representation-based approach, the framework was used to describe and explain an important, challenging, and controversial issue — the concept of affordance.
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16

Fiore, Stephen M., Haydee M. Cuevas, Eduardo Salas, and Jonathan W. Schooler. "Distributed Teams and Distributed Memory." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (September 2002): 398–402. http://dx.doi.org/10.1177/154193120204600339.

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The nature of teams is changing in that the implementation of distributed teams as a definable organizational unit has substantially increased. In this paper we discuss a portion of the cognitive processes potentially impacting distributed team performance. We elaborate on how team opacity arising from distributed interaction can impact team cognition, with an emphasis on the critical memory components that are foundational to the development and implementation of shared mental models.
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17

Nemeth, C. P., R. I. Cook, M. O'Connor, and P. A. Klock. "Using Cognitive Artifacts to Understand Distributed Cognition." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 34, no. 6 (November 2004): 726–35. http://dx.doi.org/10.1109/tsmca.2004.836798.

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18

Cowley, Stephen J. "Distributed language and dynamics." Distributed Language 17, no. 3 (December 2, 2009): 495–508. http://dx.doi.org/10.1075/pc.17.3.01cow.

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Language is coordination. Pursuing this, the present Special Issue of Pragmatics & Cognition challenges two widely held positions. First, the papers reject the claim that language is essentially ‘symbolic’. Second, they deny that minds (or brains) represent verbal patterns. Rather, language is social, individual, and contributes the feeling of thinking. Simply, it is distributed. Elucidating this claim, the opening papers report empirically-based work on the anticipatory dynamics of reading, their cognitive consequences, Shakespearean theatre, what images evoke, and insight problem-solving. Having given reasons for rejecting linguistic autonomy, the papers turn to theory building. Initially, attention is given to a possible origin for semiotic cognition. Then, it is claimed that language functions by realizing values. Next, it is argued that human dynamics are co-regulated by cultural and biological symbols. Finally, in a review article, the distributed view of language is used to contrast Clark’s (2008) organism-centered cognition with what is here called ecologically extended cognition.
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19

Michaelian, Kourken. "JFGI: FROM DISTRIBUTED COGNITION TO DISTRIBUTED RELIABILISM*." Philosophical Issues 24, no. 1 (September 23, 2014): 314–46. http://dx.doi.org/10.1111/phis.12036.

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20

Sutherland, Stuart. "Cognition: Parallel distributed processing." Nature 323, no. 6088 (October 1986): 486. http://dx.doi.org/10.1038/323486a0.

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21

McNeese, Michael D., Elena Theodorou, Lori Ferzandi, Tyrone Jefferson, and Xun Ge. "Distributed Cognition in Shared Information Spaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (September 2002): 556–60. http://dx.doi.org/10.1177/154193120204600371.

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This study examined higher order perception, cognition, and individual-cultural differences as a basis for the rapid use of knowledge in complex problems requiring distributed team members. Previous research suggests that when complex problem-solving teams acquire perceptually anchored knowledge and engage in perceptual contrasts and comparisons, team members may spontaneously access knowledge given similarly situated problems. Our premise is that perceptual anchors may provide the basis for formulating shared mental models, which can be used to assess situations and resolve differences in individual, unique knowledge. However, distributed cognition settings may diminish the development of these models despite the advantages of perceptual anchors. Because distributed cognition often incurs through shared information spaces, this study utilized chatrooms to enact a distributed environment. Initial analyses partially support previous research (McNeese, 2000) that has examined the role of cognitive processes in facilitating knowledge acquisition and transfer. Individual problem solvers show positive transfer but distributed team members do not. Gender and ethnicity may also impact acquisition and transfer results. Results suggest the need for intelligent interfaces/collaborative technologies to improve effectiveness and efficiency in appropriating perceptual differentiation in distributed cognition.
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22

Bivens, Kristin Marie, and Kelli Cargile Cook. "Coordinating Distributed Memory." Journal of Business and Technical Communication 32, no. 3 (March 4, 2018): 285–307. http://dx.doi.org/10.1177/1050651918762028.

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This case study of an environmental engineer’s proposal-writing process reveals how the engineer (Beatrice) reifies, archives, and accesses her distributed memory across physical and digital sources in order to write proposals. Based on the authors’ observations of Beatrice’s proposal-writing process and their interviews with her, they arrived at three key conclusions: Beatrice distributes her memory across multiple physical and digital sources, the (spreadsheet) product calculator helps Beatrice to manage her cognitive load and relieve her working memory, and the product calculator allows Beatrice to reassemble her distributed memory and coordinate her cognition.
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23

RHEE, Young E. "Can Scientific Cognition Be Distributed?" Annals of the Japan Association for Philosophy of Science 26 (2017): 29–37. http://dx.doi.org/10.4288/jafpos.26.0_29.

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24

Hazlehurst, Brian. "When I say … distributed cognition." Medical Education 49, no. 8 (July 7, 2015): 755–56. http://dx.doi.org/10.1111/medu.12672.

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25

Steels, Luc. "Collaborative tagging as distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 287–92. http://dx.doi.org/10.1075/pc.14.2.09ste.

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The paper discusses recent developments in web technologies based on collaborative tagging. This approach is seen as a tremendously powerful way to coordinate the ontologies and views of a large number of individuals, thus constituting the most successful tool for distributed cognition so far.
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26

Giere, R. N. "Distributed Cognition in the Lab." Science 333, no. 6039 (July 7, 2011): 159–60. http://dx.doi.org/10.1126/science.1207754.

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27

Spurrett, David. "Distributed cognition and integrational linguistics." Language Sciences 26, no. 6 (November 2004): 497–501. http://dx.doi.org/10.1016/j.langsci.2004.09.001.

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28

Johnson, C. M. "Distributed primate cognition: a review." Animal Cognition 3, no. 4 (March 1, 2001): 167–83. http://dx.doi.org/10.1007/s100710100077.

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29

Cheon, Hyundeuk. "Distributed Cognition in Scientific Contexts." Journal for General Philosophy of Science 45, no. 1 (September 1, 2013): 23–33. http://dx.doi.org/10.1007/s10838-013-9226-4.

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30

Nemeth, Christopher. "How Cognitive Artifacts Support Distributed Cognition in Acute Care." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 47, no. 3 (October 2003): 381–85. http://dx.doi.org/10.1177/154193120304700328.

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31

Heersmink, Richard. "Distributed Cognition and Distributed Morality: Agency, Artifacts and Systems." Science and Engineering Ethics 23, no. 2 (July 5, 2016): 431–48. http://dx.doi.org/10.1007/s11948-016-9802-1.

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32

McGraw, John J. "Maya Divination: Ritual Techniques of Distributed Cognition." Journal of Cognition and Culture 16, no. 3-4 (September 21, 2016): 177–98. http://dx.doi.org/10.1163/15685373-12342176.

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Based on more than 24 months of ethnographic research among Maya ritualists in the western highlands of Guatemala, this article examines howpajooneem, ortz’ite’seed divination, facilitates decision-making and distributes cognition between client, diviner, and ritual techniques.Tz’ite’seed divination exhibits a stylized routine that draws on important ‘mediating structures,’ including the 260-day ritual calendar known throughout Mesoamerica. Because it is both a ritual and cognitive practice, Maya divination grounds decision-making in a perennially relevant set of cultural values.
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33

Kaidesoja, Tuukka. "The DBO theory of action and distributed cognition." Social Science Information 51, no. 3 (August 20, 2012): 311–37. http://dx.doi.org/10.1177/0539018412441750.

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The DBO (Desires, Beliefs and Opportunities) theory of action proposed by analytical sociologists aims to provide an action-theoretical basis for building explanatory theories in sociology. Peter Hedström claims that the DBO theory is realistic because it does not make assumptions that are known to be false or seriously incompatible with the current scientific understanding about the nature of human action and cognition. This article nevertheless aims to show that the DBO theory is not only incomplete but also that its background assumptions are unrealistic, in the sense that they do not fit with the distributed nature of action-related cognition, which has recently become a growing topic of interest in cognitive sciences. The author also indicates that the neglect of the distributed and embodied aspects of cognition in the DBO theory leads to various biases in the process of constructing mechanism-based explanations in social sciences. Finally, an alternative approach to action theory is sketched on the basis of this critique.
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34

Wilcox, Nathaniel T. "AGAINST SIMPLICITY AND COGNITIVE INDIVIDUALISM." Economics and Philosophy 24, no. 3 (November 2008): 523–32. http://dx.doi.org/10.1017/s0266267108002137.

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Neuroeconomics illustrates our deepening descent into the details of individual cognition. This descent is guided by the implicit assumption that “individual human” is the important “agent” of neoclassical economics. I argue here that this assumption is neither obviously correct, nor of primary importance to human economies. In particular I suggest that the main genius of the human species lies with its ability to distribute cognition across individuals, and to incrementally accumulate physical and social cognitive artifacts that largely obviate the innate biological limitations of individuals. If this is largely why our economies grow, then we should be much more interested in distributed cognition in human groups, and correspondingly less interested in individual cognition. We should also be much more interested in the cultural accumulation of cognitive artefacts: computational devices and media, social structures and economic institutions.
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35

Hazlehurst, Brian, Paul N. Gorman, and Carmit K. McMullen. "Distributed cognition: An alternative model of cognition for medical informatics." International Journal of Medical Informatics 77, no. 4 (April 2008): 226–34. http://dx.doi.org/10.1016/j.ijmedinf.2007.04.008.

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36

Theiner, Georg. "Collaboration, exploitation, and distributed animal cognition." Comparative Cognition & Behavior Reviews 13 (2018): 41–47. http://dx.doi.org/10.3819/ccbr.2018.130006.

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37

Smith, Eliot R., and Elizabeth C. Collins. "Contextualizing person perception: Distributed social cognition." Psychological Review 116, no. 2 (2009): 343–64. http://dx.doi.org/10.1037/a0015072.

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38

Baber, Chris, Paul Smith, James Cross, John E. Hunter, and Richard McMaster. "Crime scene investigation as distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 357–85. http://dx.doi.org/10.1075/pc.14.2.14bab.

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Crime scene investigation is a form of Distributed Cognition. The principal concept we explore in this paper is that of ‘resource for action’. It is proposed that crime scene investigation employs four primary resources-for-action: (a.) the environment, or scene itself, which affords particular forms of search and object retrieval; (b.) the retrieved objects, which afford translation into evidence; (c.) the procedures that guide investigation, which both constrain the search activity and also provide opportunity for additional activity; (d.) the narratives that different agents within the system produce to develop explanatory models and formal accounts of the crime. For each aspect of distributed cognition, we consider developments in technology that could support activity.
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39

Vaesen, Krist. "Giere’s (In)Appropriation of Distributed Cognition." Social Epistemology 25, no. 4 (October 2011): 379–91. http://dx.doi.org/10.1080/02691728.2011.604444.

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40

Gillen, Julia, Rebecca Ferguson, Anna Peachey, and Peter Twining. "Distributed cognition in a virtual world." Language and Education 26, no. 2 (March 2012): 151–67. http://dx.doi.org/10.1080/09500782.2011.642881.

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41

Busby, J. S. "Error and distributed cognition in design." Design Studies 22, no. 3 (May 2001): 233–54. http://dx.doi.org/10.1016/s0142-694x(00)00028-4.

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42

Kropff, Emilio, and Alessandro Treves. "Semantic cognition: Distributed, but then attractive." Behavioral and Brain Sciences 31, no. 6 (December 2008): 718–19. http://dx.doi.org/10.1017/s0140525x08005943.

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AbstractThe parallel distributed processing (PDP) perspective brings forward the important point that all semantic phenomena are based on analog underlying mechanisms, involving the weighted summation of multiple inputs by individual neurons. It falls short of indicating, however, how the essentially discrete nature of semantic processing may emerge at the cognitive level. Bridging this gap probably requires attractor networks.
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43

Baber, Chris. "Distributed cognition at the crime scene." AI & SOCIETY 25, no. 4 (January 20, 2010): 423–32. http://dx.doi.org/10.1007/s00146-010-0274-6.

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44

Cárdenas-García, Jaime F. "Distributed Cognition: An Ectoderm-Centric Perspective." Biosemiotics 6, no. 3 (February 27, 2013): 337–50. http://dx.doi.org/10.1007/s12304-013-9166-8.

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45

Philipsen, Johanne S., and Sarah Bro Trasmundi. "Gesture reuse as distributed embodied cognition." Gesture 18, no. 1 (December 31, 2019): 1–30. http://dx.doi.org/10.1075/gest.00031.phi.

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Abstract In this paper, we investigate the intimate link between hands and minds – or rather: How the hands are a means for exploring thoughts in collaboration with others. Specifically, this study investigates a series of locally occurring instances of gestural reuse in naturally occurring psychotherapeutic interaction. The repetition of gestural sequences and formats in interaction has been researched as serving pragmatic functions of building cohesion (McNeill & Levy, 1993) and managing different aspects of turn-taking (Koschmann & LeBaron, 2002). Taking a micro-analytic approach to the study of gesture, we show how reusing other participants’ gestures in the context of psychotherapy serves additional functions: As affordances for shared, embodied cognition. The study contributes to the growing body of research on gesture as a co-participated, co-operative (Goodwin, 2013, 2018) and embodied phenomenon that criss-cross the boundaries of inside-the-skull, individual-centered and socially distributed cognition.
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46

Toon, Adam. "Friends at last? Distributed cognition and the cognitive/social divide." Philosophical Psychology 27, no. 1 (August 12, 2013): 112–25. http://dx.doi.org/10.1080/09515089.2013.828371.

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47

Toskos Dils, Alexia, and Stephen J. Flusberg. "Massive redeployment or distributed modularity?" Behavioral and Brain Sciences 33, no. 4 (August 2010): 292–93. http://dx.doi.org/10.1017/s0140525x10001226.

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AbstractIn distinguishing itself from other distributed approaches to cognition, Anderson's theory of neural reuse is susceptible to some of the same criticisms that have been leveled at modular approaches. Specifically, neural reuse theories state that: (1) the “working” of a given brain circuit is fixed, rather than shaped by its input, and (2) that high-level cognitive behaviors can be cleanly mapped onto a specific set of brain circuits in a non-contextualized manner.
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48

Chen, Lingjing, and Shuying Huang. "Willingness and Evaluation Model of College Students’ Online Learning Behavior Based on Distributed Cognition." Scientific Programming 2021 (October 8, 2021): 1–12. http://dx.doi.org/10.1155/2021/6386455.

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Guided by distributed cognition theory, we analyze the influential elements of content, tools, and contextual interactions in the online learning process through research and case studies to explore the characteristics and evaluation of college students’ willingness to engage in online learning behavior under distributed cognition and provide guidance for the experience design of online education platforms. Based on distributed cognition, this paper designs a convolutional neural network model based on InceptionNet, which uses a global average pooling layer instead of a fully connected layer to reduce the number of parameters, and InceptionNet increases the depth and width of the network by branching to improve the performance of the network and avoid overfitting. Distributed cognitive theory emphasizes the distributed nature of cognition, and the intrinsic variables that influence the willingness to participate in online learning communities from a systemic viewpoint are mainly attitudes, subjective norms, expected emotions, competence, sense of relatedness, desire, and perceived behavioral control. In addition, perceived behavioral control has a direct positive effect on the willingness to participate in online learning communities.
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49

Banka, Augustine. "Overcoming Post-War Traumas and Confl icts through Dialogue in Distributed Cognition." Journal for Perspectives of Economic Political and Social Integration 23, no. 1-2 (December 20, 2017): 15–48. http://dx.doi.org/10.1515/pepsi-2017-0001.

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Abstract The following paper presents a proposal of a theoretical foundation for an application of distributed cognition in overcoming post-war traumas and related social conflicts. The distributed cognition theory states that the cognitive system is a structure distributed between internal-mental and external-objective social world representations across time and space. The basic issue of dialogue in distributed cognition is that distribution as information dissemination in each cognitive component functions in a systemic integrity. The presented perspective of overcoming traumas and war conflicts through dialogue refers to the following aspects of human activity: 1 - the perception of an environment as a construct of own life path and self-image; 2 - active creation of a desired world, life space and desired self; 3 - agentic cognitive mapping of an environment as a real, virtual and potential life space; 4 - a way of elastic control over an environment through discovering objectively present environmental affordances; 5 - achieving agency through discovering possibilities for action rather than barriers; 6 - making the cognitive system more flexible through a change in style of thinking to a constant state of openness to new meanings and values.
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50

Cash, Mason. "Cognition without borders: “Third wave” socially distributed cognition and relational autonomy." Cognitive Systems Research 25-26 (December 2013): 61–71. http://dx.doi.org/10.1016/j.cogsys.2013.03.007.

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