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  1.  35
    Leibniz on Estimating the Uncertain.Wolfgang David Cirilo de Melo & James Cussens - 2004 - The Leibniz Review 14:31-41.
    Leibniz’s De incerti aestimatione, which contains his solution to the division problem, has not received much attention, let alone much appreciation. This is surprising because it is in this work that the definition of probability in terms of equally possible cases appears for the first time. The division problem is used to establish and test probability theory; it can be stated as follows: if two players agree to play a game in which one has to win a certain number of (...)
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  2.  54
    Deduction, Induction and Probabilistic Support.James Cussens - 1996 - Synthese 108 (1):1 - 10.
    Elementary results concerning the connections between deductive relations and probabilistic support are given. These are used to show that Popper-Miller's result is a special case of a more general result, and that their result is not very unexpected as claimed. According to Popper-Miller, a purely inductively supports b only if they are deductively independent — but this means that a b. Hence, it is argued that viewing induction as occurring only in the absence of deductive relations, as Popper-Miller sometimes do, (...)
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  3. Integrating Probabilistic and Logical Reasoning.James Cussens - 2001 - In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. pp. 241--260.
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  4.  11
    Leibniz on Estimating the Uncertain: An English Translation of De Incerti Aestimatione with Commentary.Wolfgang David Cirilo de Melo & James Cussens - 2004 - The Leibniz Review 14:31-41.
    Leibniz’s De incerti aestimatione, which contains his solution to the division problem, has not received much attention, let alone much appreciation. This is surprising because it is in this work that the definition of probability in terms of equally possible cases appears for the first time. The division problem is used to establish and test probability theory; it can be stated as follows: if two players agree to play a game in which one has to win a certain number of (...)
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  5.  4
    Leibniz on Estimating the Uncertain: An English Translation of De Incerti Aestimatione with Commentary.Wolfgang David Cirilo de Melo & James Cussens - 2004 - The Leibniz Review 14:31-41.
    Leibniz’s De incerti aestimatione, which contains his solution to the division problem, has not received much attention, let alone much appreciation. This is surprising because it is in this work that the definition of probability in terms of equally possible cases appears for the first time. The division problem is used to establish and test probability theory; it can be stated as follows: if two players agree to play a game in which one has to win a certain number of (...)
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  6.  7
    Probability, Uncertainty and Artificial Intelligence.James Cussens - 2014 - Metascience 23 (3):505-511.
    The central thesis of this book is that the argument that probability is insufficient to handle uncertainty in artificial intelligence (AI) is metaphysical in nature. Piscopo calls this argument against probability the non-adequacy claim and provides this summary of it [which first appeared in (Piscopo and Birattari 2008)]:Probability theory is not suitable to handle uncertainty in AI because it has been developed to deal with intrinsically stochastic phenomena, while in AI, uncertainty has an epistemic nature. (Piscopo (3))Piscopo uses the term (...)
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  7.  2
    Leibniz on Estimating the Uncertain.Wolfgang David Cirilo de Melo & James Cussens - 2004 - The Leibniz Review 14:31-41.
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  8. Inductive Logic Programming 10th International Conference, Ilp 2000, London, Uk, July 2000 : Proceedings.James Cussens & Alan Frisch - 2000
     
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  9. Learning Language in Logic.Saso Dzeroski & James Cussens - 2000
     
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