Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/12662
Title: The golden ratio in probablistic and artificial intelligence
Authors: Tanackov, Ilija 
Tepić J.
Kostelac M.
Issue Date: 1-Dec-2011
Journal: Tehnicki Vjesnik
Abstract: The problem of the line section based on the golden ratio φ = 1,618033 has the analogy in probability. The solution of the elementary exponential distribution relies on the value 2ln φ in particular. This value also plays a key role to Riccati hyperbolic functions with Fibonacci and Lucas numbers in continuous domain. This establishes a close relationship between the constants e and φ Two new theorems on the convergence between the constants φ and e were derived. The number e is the foundation of Markov processes, which find applications in probabilistic and artificial intelligence theory. The ratio between the constants φ and e, as well as many other natural phenomena based on the golden ratio, highlight the need to expand the field of probabilistic and artificial intelligence.
URI: https://open.uns.ac.rs/handle/123456789/12662
ISSN: 13303651
Appears in Collections:FTN Publikacije/Publications

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