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  1. Why Canada’s Artificial Intelligence and Data Act Needs “Mental Data”.Dylan J. White & Joshua August Skorburg - 2023 - American Journal of Bioethics Neuroscience 14 (2):101-103.
    By introducing the concept of “mental data,” Palermos (2023) highlights an underappreciated aspect of data ethics that policymakers would do well to heed. Sweeping artificial intelligence (AI) legi...
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  • Extending Existential Feeling Through Sensory Substitution.Jussi A. Saarinen - 2023 - Synthese 201 (2):1-24.
    In current philosophy of mind, there is lively debate over whether emotions, moods, and other affects can extend to comprise elements beyond one’s organismic boundaries. At the same time, there has been growing interest in the nature and significance of so-called existential feelings, which, as the term suggests, are feelings of one’s overall being in the world. In this article, I bring these two strands of investigation together to ask: Can the material underpinnings of existential feelings extend beyond one’s skull (...)
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  • Scientific practice as ecological-enactive co-construction.Guilherme Sanches de Oliveira, Thomas van Es & Inês Hipólito - 2023 - Synthese 202 (1):1-33.
    Philosophy of science has undergone a naturalistic turn, moving away from traditional idealized concerns with the logical structure of scientific theories and toward focusing on real-world scientific practice, especially in domains such as modeling and experimentation. As part of this shift, recent work has explored how the project of philosophically understanding science as a natural phenomenon can be enriched by drawing from different fields and disciplines, including niche construction theory in evolutionary biology, on the one hand, and ecological and enactive (...)
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  • Reframing Cognitive Science as a Complexity Science.Luis H. Favela & Mary Jean Amon - 2023 - Cognitive Science 47 (4):e13280.
    Complexity science is an investigative framework that stems from a number of tried and tested disciplines—including systems theory, nonlinear dynamical systems theory, and synergetics—and extends a common set of concepts, methods, and principles to understand how natural systems operate. By quantitatively employing concepts, such as emergence, nonlinearity, and self‐organization, complexity science offers a way to understand the structures and operations of natural cognitive systems in a manner that is conceptually compelling and mathematically rigorous. Thus, complexity science both transforms understandings of (...)
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  • Prospects for Augmenting Team Interactions with Real‐Time Coordination‐Based Measures in Human‐Autonomy Teams.Travis J. Wiltshire, Kyana van Eijndhoven, Elwira Halgas & Josette M. P. Gevers - 2024 - Topics in Cognitive Science 16 (3):391-429.
    Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human-autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship (...)
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  • Alternative Object Use in Adults and Children: Embodied Cognitive Bases of Creativity.Alla Gubenko & Claude Houssemand - 2022 - Frontiers in Psychology 13.
    Why does one need creativity? On a personal level, improvisation with available resources is needed for online coping with unforeseen environmental stimuli when existing knowledge and apparent action strategies do not work. On a cultural level, the exploitation of existing cultural means and norms for the deliberate production of novel and valuable artifacts is a basis for cultural and technological development and extension of human action possibilities across various domains. It is less clear, however, how creativity develops and how exactly (...)
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