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Please use this identifier to cite or link to this item: http://hdl.handle.net/10506/1005

Title: Стохастична оптимизация в помощ на хипотетико-дедуктивния метод.
Authors: Mengov, George
Keywords: Received View, Stochastic optimization, Neuroscience
Issue Date: 20-Mar-2013
Abstract: This paper outlines an approach to enhance the process of scientific creativity by partial automation of the Received View type of reasoning. The idea is to implement stochastic optimization for testing hypotheses involving complex analytical models. When ample empirical data are available, it becomes possible to reach conclusions of high statistical significance about elements of a theoretical model comprising the core of a hypothesis. We illustrate the approach with two examples from computational neuroscience, showing both a success and a problematic outcome due to existing unresolved issues.
Description: Менгов, Г. (2009) Стохастична оптимизация в помощ на хипотетико-дедуктивния метод. Машиностроене и машинознание. Серия: Икономика и мениджмънт (ISSN 1312-8612), 4 (3), 77-81. Mengov, G. (2009) Stochastic approximation in support of the Received View. Machine Building and Machine Science: Economics and Management Series, 4 (3), 77-81.
URI: http://hdl.handle.net/10506/1005
Appears in Collections:Statistics and Econometrics / Статистика и иконометрия

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