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  1.  17
    Games Between Humans and AIs.Stephen J. DeCanio - 2018 - AI and Society 33 (4):557-564.
    Various potential strategic interactions between a “strong” Artificial intelligence and humans are analyzed using simple 2 × 2 order games, drawing on the New Periodic Table of those games developed by Robinson and Goforth. Strong risk aversion on the part of the human player leads to shutting down the AI research program, but alternative preference orderings by the human and the AI result in Nash equilibria with interesting properties. Some of the AI-Human games have multiple equilibria, and in other cases (...)
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  2.  14
    What Is It Like to Be a Social Scientist?Stephen J. DeCanio - 2017 - Critical Review: A Journal of Politics and Society 29 (2):121-140.
    ABSTRACTAlexander Wendt’s Quantum Mind and Social Science is an effort to establish foundations of social science based on the ontology of modern physics. The quantum revolution has deservedly had repercussions in many sciences, but it is unwise to ground social science on physical theories, which are subject to constant revision. Additionally, despite its empirical success, there is no agreed-upon interpretation of quantum theory. Finally, even if there were, the random indeterminacy intrinsic to the quantum world cannot account for the intentionality (...)
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  3.  27
    Carbon Rights and Economic Development.Stephen J. DeCanio - 1992 - Critical Review: A Journal of Politics and Society 6 (2-3):389-410.
    Even in the absence of complete scientific consensus on the magnitude, timing, and regional distribution of the effects of global warming caused by greenhouse gas emissions, it is worthwhile to examine potential policy responses to the prospect of climate change. An internalization of the greenhouse externality based on property rights in carbon emissions offers the potential to promote rather than retard worldwide economic development. As the world economy moves in a market?oriented direction, the arbitrary wealth transfers associated with a carbon?rights (...)
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    AI Recognition of Differences Among Book-Length Texts.Stephen J. DeCanio - 2020 - AI and Society 35 (1):135-146.
    Can an Artificial Intelligence make distinctions among major works of politics, philosophy, and fiction without human assistance? In this paper, latent semantic analysis is used to find patterns in a relatively small sample of notable works archived by Project Gutenberg. It is shown that an LSA-equipped AI can distinguish quite sharply between fiction and non-fiction works, and can detect some differences between political philosophy and history, and between conventional fiction and fantasy/science fiction. It is conjectured that this capability is a (...)
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