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David H. Glass
University of Ulster
  1. Inference to the Best Explanation: Does It Track Truth?David H. Glass - 2012 - Synthese 185 (3):411-427.
    In the form of inference known as inference to the best explanation there are various ways to characterise what is meant by the best explanation. This paper considers a number of such characterisations including several based on confirmation measures and several based on coherence measures. The goal is to find a measure which adequately captures what is meant by 'best' and which also yields the truth with a high degree of probability. Computer simulations are used to show that the overlap (...)
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  2.  61
    Coherence, Explanation, and Hypothesis Selection.David H. Glass - 2021 - British Journal for the Philosophy of Science 72 (1):1-26.
    This paper provides a new approach to inference to the best explanation based on a new coherence measure for comparing how well hypotheses explain the evidence. It addresses a number of criticisms of the use of probabilistic measures in this context by Clark Glymour, including limitations of earlier work on IBE. Computer experiments are used to show that the new approach finds the truth with a high degree of accuracy in hypothesis selection tasks and that in some cases its accuracy (...)
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  3.  62
    Problems with Priors in Probabilistic Measures of Coherence.David H. Glass - 2005 - Erkenntnis 63 (3):375-385.
    Two of the probabilistic measures of coherence discussed in this paper take probabilistic dependence into account and so depend on prior probabilities in a fundamental way. An example is given which suggests that this prior-dependence can lead to potential problems. Another coherence measure is shown to be independent of prior probabilities in a clearly defined sense and consequently is able to avoid such problems. The issue of prior-dependence is linked to the fact that the first two measures can be understood (...)
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  4.  38
    A New Argument for the Likelihood Ratio Measure of Confirmation.David H. Glass & Mark McCartney - 2015 - Acta Analytica 30 (1):59-65.
    This paper presents a new argument for the likelihood ratio measure of confirmation by showing that one of the adequacy criteria used in another argument can be replaced by a more plausible and better supported criterion which is a special case of the weak likelihood principle. This new argument is also used to show that the likelihood ratio measure is to be preferred to a measure that has recently received support in the literature.
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  5.  30
    Hypothesis Competition Beyond Mutual Exclusivity.Jonah N. Schupbach & David H. Glass - 2017 - Philosophy of Science 84 (5):810-824.
    Competition between scientific hypotheses is not always a matter of mutual exclusivity. Consistent hypotheses can compete to varying degrees either directly or indirectly via a body of evidence. We motivate and defend a particular account of hypothesis competition by showing how it captures these features. Computer simulations of Bayesian inference are used to highlight the limitations of adopting mutual exclusivity as a simplifying assumption to model scientific reasoning, particularly due to the exclusion of hypotheses that may be true. We end (...)
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  6. Darwin, Design and Dawkins' Dilemma.David H. Glass - 2012 - Sophia 51 (1):31-57.
    Richard Dawkins has a dilemma when it comes to design arguments. On the one hand, he maintains that it was Darwin who killed off design and so implies that his rejection of design depends upon the findings of modern science. On the other hand, he follows Hume when he claims that appealing to a designer does not explain anything and so implies that rejection of design need not be based on the findings of modern science. These contrasting approaches lead to (...)
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  7.  2
    An Evaluation of the Biological Case for Design.David H. Glass - forthcoming - Zygon.
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  8.  34
    Two-Dimensional Opinion Dynamics in Social Networks with Conflicting Beliefs.Shuwei Chen, David H. Glass & Mark McCartney - 2019 - AI and Society 34 (4):695-704.
    Two models are developed for updating opinions in social networks under situations where certain beliefs might be considered to be competing. These two models represent different attitudes of people towards the perceived conflict between beliefs. In both models agents have a degree of tolerance, which represents the extent to which the agent takes into account the differing beliefs of other agents, and a degree of conflict, which represents the extent to which two beliefs are considered to be competing. Computer simulations (...)
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    Two-Dimensional Opinion Dynamics in Social Networks with Conflicting Beliefs.Shuwei Chen, David H. Glass & Mark McCartney - 2019 - AI and Society 34 (4):695-704.
    Two models are developed for updating opinions in social networks under situations where certain beliefs might be considered to be competing. These two models represent different attitudes of people towards the perceived conflict between beliefs. In both models agents have a degree of tolerance, which represents the extent to which the agent takes into account the differing beliefs of other agents, and a degree of conflict, which represents the extent to which two beliefs are considered to be competing. Computer simulations (...)
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  10.  19
    Reward Magnitude Changes Following Differential Conditioning and Partial Reinforcement.James R. Ison, David H. Glass & Helen B. Daly - 1969 - Journal of Experimental Psychology 81 (1):81.
  11.  14
    "Classical" Versus "Instrumental" Exposure to Sucrose Rewards and Later Instrumental Behavior Following a Shift in Incentive Value.James R. Ison & David H. Glass - 1969 - Journal of Experimental Psychology 79 (3p1):582.
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