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  1. Dialogue in the making: emotional engagement with materials.Ingar Brinck & Vasudevi Reddy - 2020 - Phenomenology and the Cognitive Sciences 19 (1):23-45.
    Taking a psychological and philosophical outlook, we approach making as an embodied and embedded skill via the skilled artisan’s experience of having a corporeal, nonlinguistic dialogue with the material while working with it. We investigate the dynamic relation between maker and material through the lens of pottery as illustrated by wheel throwing, claiming that the experience of dialogue signals an emotional involvement with clay. The examination of Merleau-Ponty’s phenomenology of habit, the skilled intentionality framework, and material engagement theory shows that (...)
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  • Understanding the Hermeneutics of Digital Materiality in Contemporary Architectural Modelling: A Material Engagement Perspective.Kåre Stokholm Poulsgaard & Lambros Malafouris - forthcoming - AI and Society.
    This article develops a framework for analysing how digital software and models become mediums for creative imagination in architectural design. To understand the hermeneutics of these relationships, we develop key concepts from Material Engagement Theory and Postphenomenology. To push these frameworks into the realm of digital design, we develop the concept of Digital Materiality. Digital Materiality describes the way successive layers of mathematics, code, and software come to mediate enactive perception, and the possibilities of creative material engagement actualised in work (...)
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  • Autonomous Technologies in Human Ecologies: Enlanguaged Cognition, Practices and Technology.Rasmus Gahrn-Andersen & Stephen J. Cowley - forthcoming - AI and Society.
    Advanced technologies such as drones, intelligent algorithms and androids have grave implications for human existence. With the purpose of exploring their basis for doing so, the paper proposes a framework for investigating the complex relationship between such devices and human practices and language-mediated cognition. Specifically, it centers on the importance of the typically neglected intermediate layer of culture which not only drives both technophobia and philia but also, more fundamentally, connects pre-reflective experience and socio-material practices by placing advanced technologies in (...)
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  • Ecological-Enactive Scientific Cognition: Modeling and Material Engagement.Giovanni Rolla & Felipe Novaes - 2020 - Phenomenology and the Cognitive Sciences 1:1-19.
    Ecological-enactive approaches to cognition aim to explain cognition in terms of the dynamic coupling between agent and environment. Accordingly, cognition of one’s immediate environment (which is sometimes labeled “basic” cognition) depends on enaction and the picking up of affordances. However, ecological-enactive views supposedly fail to account for what is sometimes called “higher” cognition, i.e., cognition about potentially absent targets, which therefore can only be explained by postulating representational content. This challenge levelled against ecological-enactive approaches highlights a putative explanatory gap between (...)
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  • Object Concepts and Their Functional Core: Material Engagement and Canonical Uses of Objects in Early Childhood Education.Nicolás Alessandroni - forthcoming - Human Arenas.
    Concept formation is a crucial milestone for cognitive development. In the last 40 years, empirical evidence obtained in laboratory settings suggested that babies have a rich conceptual system that expresses in responses to stimuli. However, very little is still known about how concepts develop in every day, ecological contexts. This is due to a lack of studies addressing (i) the intersubjective contexts of activity in which concepts develop and (ii) the meanings that objects that are part of those contexts acquire (...)
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  • Institutions and Other Things: Critical Hermeneutics, Postphenomenology and Material Engagement Theory.Tailer G. Ransom & Shaun Gallagher - forthcoming - AI and Society.
    Don Ihde and Lambros Malafouris have argued that “we are homo faber not just because we make things but also because we are made by them.” The emphasis falls on the idea that the things that we create, use, rely on—that is, those things with which we engage—have a recursive effect on human existence. We make things, but we also make arrangements, many of which are long-standing, material, social, normative, economic, institutional, and/or political, and many of which are supported by (...)
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  • 4E Cognition in the Lower Palaeolithic: An Introduction.Thomas Wynn, Karenleigh Anne Overmann & Lambros Malafouris - forthcoming - Adaptive Behavior:99-106.
    This essay introduces a special issue focused on 4E cognition (cognition as embodied, embedded, enactive, and extended) in the Lower Palaeolithic. In it, we review the typological and representational cognitive approaches that have dominated the past fifty years of paleoanthropology. These have assumed that all representations and computations take place only inside the head, which implies that the archaeological record can only be an “external” product or the behavioral trace of “internal” representational and computational processes. In comparison, the 4E approach (...)
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  • Réponses À Marta Caravà, Jean-Marie Chevalier Et Roberta Dreon.Pierre Steiner - 2020 - European Journal of Pragmatism and American Philosophy 12 (1).
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  • Apperceptive Patterning: Artefaction, Extensional Beliefs and Cognitive Scaffolding.Ekin Erkan - 2020 - Cosmos and History 16 (1):125-178.
    In “Psychopower and Ordinary Madness” my ambition, as it relates to Bernard Stiegler’s recent literature, was twofold: 1) critiquing Stiegler’s work on exosomatization and artefactual posthumanism—or, more specifically, nonhumanism—to problematize approaches to media archaeology that rely upon technical exteriorization; 2) challenging how Stiegler engages with Giuseppe Longo and Francis Bailly’s conception of negative entropy. These efforts were directed by a prevalent techno-cultural qualifier: the rise of Synthetic Intelligence (including neural nets, deep learning, predictive processing and Bayesian models of cognition). This (...)
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