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  1. How Probabilistic Causation Can Account for the Use of Mechanistic Evidence.Erik Weber - 2009 - International Studies in the Philosophy of Science 23 (3):277-295.
    In a recent article in this journal, Federica Russo and Jon Williamson argue that an analysis of causality in terms of probabilistic relationships does not do justice to the use of mechanistic evidence to support causal claims. I will present Ronald Giere's theory of probabilistic causation, and show that it can account for the use of mechanistic evidence (both in the health sciences—on which Russo and Williamson focus—and elsewhere). I also review some other probabilistic theories of causation (of Suppes, Eells, (...)
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  • (1 other version)The Place of Probability in Science: In Honor of Ellery Eells (1953-2006).Ellery Eells & James H. Fetzer (eds.) - 2010 - Springer.
    To clarify and illuminate the place of probability in science Ellery Eells and James H. Fetzer have brought together some of the most distinguished philosophers ...
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  • Old problems for a new theory: Mayo on Giere's theory of causation.Ellery Eells & Elliott Sober - 1987 - Philosophical Studies 52 (3):291 - 307.
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  • Machine mentality and the nature of the ground relation.Darren Whobrey - 2001 - Minds and Machines 11 (3):307-346.
    John Searle distinguished between weak and strong artificial intelligence (AI). This essay discusses a third alternative, mild AI, according to which a machine may be capable of possessing a species of mentality. Using James Fetzer's conception of minds as semiotic systems, the possibility of what might be called ``mild AI'' receives consideration. Fetzer argues against strong AI by contending that digital machines lack the ground relationship required of semiotic systems. In this essay, the implementational nature of semiotic processes posited by (...)
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