Artificial Intelligence and Responsive Optimization by M. Khoshnevisan, S. Bhattacharya, F. Smarandache

By M. Khoshnevisan, S. Bhattacharya, F. Smarandache

The aim of this publication is to use the bogus Intelligence and keep an eye on platforms to diverse actual types. it's been designed for graduate scholars and researchers who're lively within the purposes of man-made Intelligence and keep watch over platforms in modeling. In our destiny study, we'll handle the original points of Neutrosophic common sense in modeling and information research.

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We have found that such insurance strategies can indeed have quite interesting governing utility structures underlying them. The expected excess payoffs from an insurance strategy can make the investor risk-loving when it is known with a relatively high prior probability that the market will either move in an adverse direction or in a favourable direction. The investor seems to display riskaverseness only when the market is equally likely to move in either direction and has a relatively high prior probability of staying unmoved.

The most commonly mutated gene in human cancers is p53, which the cancerous tumors bring about either by overexpression of the p53 binding protein mdm2 or through pathogens like the human papilloma virus (HPV). Though not the objective of this paper, it could be an interesting and potentially rewarding epidemiological exercise to isolate the proportion of p53 mutation principally brought about by the overexpression of mdm2 and the proportion of such mutation principally brought about by viral infection.

33786. 068. 691). e. 23722. These defining ranges as evaluated above will however depend on the parameters of the utility function and will therefore be different for different investors according to the values assigned to his or her utility indices corresponding to the expected excess equity. 44 In general, if we have a parabolic utility function u (x) = a + bx – cx2, where c > 0 ensures concavity, then we have u’ (x) = b – 2cx and u’’ (x) = -2c. The Arrow-Pratt measure is given by λ (x) = 2c /(b–2cx).

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