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  1. Acceptance as a positive attitude.Maria Miceli & Cristiano Castelfranchi - 2001 - Philosophical Explorations 4 (2):112 – 134.
    We argue in favor of the adaptive value of acceptance and that it deserves a definite status within the 'positive paradigm'. Acceptance currently suffers from ambiguous connotations because of its lack of optimistic biases and its similarity to resignation. We endeavor to show that acceptance and resignation are distinct attitudes by exploring their relationships with various phenomena-frustration, disappointment, expectation, positive thinking, replanning, and accuracy. The resulting distinguishing features of acceptance-thriving versus returning to baseline; realistic optimism versus hopelessness; persistence and flexible (...)
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  • The combination of multiple classifiers using an evidential reasoning approach.Yaxin Bi, Jiwen Guan & David Bell - 2008 - Artificial Intelligence 172 (15):1731-1751.
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  • Measures of uncertainty in expert systems.Peter Walley - 1996 - Artificial Intelligence 83 (1):1-58.
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  • Dempster's rule of combination is #P-complete.Pekka Orponen - 1990 - Artificial Intelligence 44 (1-2):245-253.
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  • Approximations for efficient computation in the theory of evidence.Bj∅Rnar Tessem - 1993 - Artificial Intelligence 61 (2):315-329.
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  • A method of managing complex fuzzy information.Neng-Liang Jeang & Ying-Kuei Yang - 2002 - In Robert Trappl (ed.), Cybernetics and Systems. Austrian Society for Cybernetics Studies. pp. 33--1.
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  • A method for managing evidential reasoning in a hierarchical hypothesis space: a retrospective.Jean Gordon & Edward H. Shortliffe - 1993 - Artificial Intelligence 59 (1-2):43-47.
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