Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve. Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.In V. DAsaz, J. Lovelle, aamp; B. GarcAsa-Bustelo (Eds.), Handbook of Research on Innovations in Systems and Software Engineering (pp. ... In S. Alam, G. Dobbie, Y . Koh, aamp; S. ur Rehman (Eds.) Biologically-Inspired Techniques for Knowledge Discovery and DataMining (pp. ... Modeling the Complexity of the Terrorism/ Counter-Terrorism Struggle: Mathematics of ... Supply Chain Management, 7(3), 80a103. doi:10.4018/ijisscm.2014070104 Balaji, J., Geetha, T.V., aamp; Parthasarathi , R. (2014).
|Title||:||Formalized Probability Theory and Applications Using Theorem Proving|
|Publisher||:||IGI Global - 2015-03-31|