By M. Khoshnevisan, S. Bhattacharya, F. Smarandache
The aim of this ebook is to use the factitious Intelligence and keep an eye on structures to diverse actual types. it's been designed for graduate scholars and researchers who're lively within the purposes of synthetic Intelligence and regulate structures in modeling. In our destiny study, we'll handle the original elements of Neutrosophic common sense in modeling and knowledge research.
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Additional resources for Artificial Intelligence and Responsive Optimization
Then these two parameters may be separately simulated according to some suitable probability distributions and the results fed into the optionpayoff simulation to yield a dynamic scenario whereby the neutrosophic components change according to changes in the parameters and the resulting effect on utility structure can be numerically explored. Conclusion: In this paper we have computationally examined the implications on investor’s utility of a simple option strategy of portfolio insurance under alternative market scenarios, which we believe is novel both in content as well as context.
2001, pp25-42 Tucker, Susan L. , Brown, Barry W. , vol. 83, pp181-210 Webb, G. , “A model of proliferating cell populations with inherited cycle length”, Journal of Mathematical Biology, 1986, pp269-282 Zaguskin, S.
The door is now open for further research along these lines going deep into the governing utility structures that may underlie more complex derivative trading strategies, portfolio insurance schemes and structured financial products. , “Belief Persistence after Evidential Discrediting: The Impact of Generated Versus Provided Explanations on the Likelihood of Discredited Outcomes”, Journal of Experimental Social Psychology 33, pp561-578, 1997. , 2001, pp167-179 Kahneman, Daniel and Tversky, Amos, “Prospect Theory: An Analysis of Decisions under Risk”, Econometrica 47, 1979, pp287-88 49 Leland, Hayne E.
Artificial Intelligence and Responsive Optimization by M. Khoshnevisan, S. Bhattacharya, F. Smarandache