What are the ethical considerations when using Markov processes in decision-making?

Markov processes are a special class of stochastic processes that uniquely determine the future behaviour of the process by its present state. In this paper we describe a general-purpose model of medical prognosis based on the Markov process and show how this simple mathematical tool may be used to ... Oct 5, 2011 ... The answer is no. A Markov chain will always lose information about the initial state, as it relaxes to a stable distribution, while a quantum mechanical ... Sep 14, 2020 ... ... markov chain converges. 14:23 · Go to channel · Intro to Linear ... Markov Decision Processes - Computerphile. Computerphile•192K views. The MeHiM is based on the idea of the hidden Markov model (HMM; Rabiner 1989; Cappé et al. 2006), an effective tool for modeling stochastic processes. In an HMM ... Other Markov models are based on the chain representations but with added information, such as observations and observation likelihoods. The transition matrix ... On January 23, 1913, he summarized his findings in an address to the Imperial Academy of Sciences in St. Petersburg. His analysis did not alter the ... Complex Sequencing Rules of Birdsong Can be Explained by Simple Hidden Markov Processes. Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Masato Okada ... 6 Brownian motion as a Markov process was published in Brownian Motion on page 62. a simple stochastic process in which the distribution of future states depends only on the present state and not on how it arrived in the present state.