decision equation

  • 1Decision field theory — (DFT), is a dynamic cognitive approach to human decision making. It is a cognitive model that describes how people make decisions rather than a rational model that prescribes what people should do. It is also a dynamic model of decision making… …

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  • 2Équation de Drake — L équation de Drake est une célèbre proposition mathématique concernant les sciences telles que l exobiologie, la futurobiologie, l astrosociologie, ainsi que le projet SETI (Search for Extraterrestrial Intelligence). Cette équation a été… …

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  • 3Équation fondamentale de la dynamique — Lois du mouvement de Newton Les deux premières lois de Newton en latin dans l édition originale du Principia Mathematica de 1687. Les lois du mouvement de Newton sont en fait des principes à la base de la grande théorie de Newton concernant le… …

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  • 4Bellman equation — A Bellman equation (also known as a dynamic programming equation), named after its discoverer, Richard Bellman, is a necessary condition for optimality associated with the mathematical optimization method known as dynamic programming. It writes… …

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  • 5Markov decision process — Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for… …

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  • 6Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… …

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  • 7Discrete Poisson equation — In mathematics, the discrete Poisson equation is the finite difference analog of the Poisson equation. In it, the discrete Laplace operator takes the place of the Laplace operator. The discrete Poisson equation is frequently used in numerical… …

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  • 8Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… …

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  • 9Partially observable Markov decision process — A Partially Observable Markov Decision Process (POMDP) is a generalization of a Markov Decision Process. A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot… …

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  • 10Libre décision — Libre arbitre Le libre arbitre décrit la propriété qu’aurait la volonté humaine de se déterminer librement voire arbitrairement à agir et à penser, par opposition au déterminisme ou au fatalisme, qui affirment que la volonté est déterminée dans… …

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