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Cyborg werden: Möglichkeitshorizonte in feministischen Theorien und Science Fictions
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Fink, Dagmar. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: Gender Studies ; 291 (2022)
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Natural cybernetics and mathematical history: the principle of least choice in history
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In: https://hal.archives-ouvertes.fr/hal-03315004 ; 2021 (2021)
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Imagining the thinking machine: Technological myths and the rise of artificial intelligence
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A Measure of All Minds: A Classification of the Artificial Intelligence Strengths and Virtues & the Creation of the THETIS Dimensions of Cybernetic Wellbeing
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In: Master of Applied Positive Psychology (MAPP) Capstone Projects (2020)
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Unique information via dependency constraints
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In: Journal of Physics A: Mathematical and Theoretical, vol 52, iss 1 (2019)
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Abstract:
The partial information decomposition (PID) is perhaps the leading proposal for resolving information shared between a set of sources and a target into redundant, synergistic, and unique constituents. Unfortunately, the PID framework has been hindered by a lack of a generally agreed-upon, multivariate method of quantifying the constituents. Here, we take a step toward rectifying this by developing a decomposition based on a new method that quantifies unique information. We first develop a broadly applicable method - the dependency decomposition - that delineates how statistical dependencies influence the structure of a joint distribution. The dependency decomposition then allows us to define a measure of the information about a target that can be uniquely attributed to a particular source as the least amount which the source-target statistical dependency can influence the information shared between the sources and the target. The result is the first measure that satisfies the core axioms of the PID framework while not satisfying the Blackwell relation, which depends on a particular interpretation of how the variables are related. This makes a key step forward to a practical PID.
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Keyword:
cond-mat.stat-mech; cs.IT; cs.LG; cybernetics; information theory; math.IT; math.ST; Mathematical Physics; Mathematical Sciences; mutual information; partial information decomposition; Physical Sciences; stat.TH; statistical dependence
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URL: https://escholarship.org/uc/item/17w2p7d3
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| 8 |
Inscription and ‘Anscription’: Surface and System in Cybernetics, Deconstruction, and Don DeLillo ...
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Inscription and ‘Anscription’: Surface and System in Cybernetics, Deconstruction, and Don DeLillo
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In: Humanities ; Volume 8 ; Issue 1 (2019)
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Inscription and ‘Anscription’: Surface and System in Cybernetics, Deconstruction, and Don DeLillo
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Zetter, Nathaniel. - : MDPI AG, 2019. : https://www.mdpi.com/2076-0787/8/1/5, 2019. : Humanities, 2019
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| 11 |
Mathematics in Motion: Cartesian Mechanism and the Prospect of Intelligent Machines
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| 12 |
The mirror for (artificial) intelligence: Working in whose reflection?
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Moore, Phoebe V.. - : Berlin: Wissenschaftszentrum Berlin für Sozialforschung (WZB), 2019
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| 13 |
Creativity and the cybernetics of self: Drama, embodied creation and feedback processes
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In: Davis, S, (2018). Creativity and the cybernetics of self: Drama, embodied creation and feedback processes. Burgoyne, S (Ed.), Creativity in theatre: Theory and action in theatre/drama education, p. 169-187Cham, Switzerland: Springer http://dx.doi.org/10.1007/978-3-319-78928-6_11 (2018)
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| 14 |
Robert Smithson and Cybernetics: Language, Technology and Abstraction ... : Robert Smithson und Kybernetik: Sprache, Technologie und Abstraktion ...
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| 15 |
Just Talking -- Modelling Casual Conversation ; 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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Silence and overlap in chat and chunk phases of multiparty casual conversation ; 9th International Conference on Speech Prosody 2018
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Polychronization as a mechanism for language acquisition in spiking neural networks
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| 18 |
Building Teacher Self-Efficacy Through Administrator Feedback
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In: Dissertations (2018)
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Why the United States Must Adopt Lethal Autonomous Weapon Systems
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The New Dogs of War: The Future of Weaponized Artificial Intelligence
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