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  2. Markov's principle - Wikipedia

    en.wikipedia.org/wiki/Markov's_principle

    Markov's principle (also known as the Leningrad principle [1]), named after Andrey Markov Jr, is a conditional existence statement for which there are many equivalent formulations, as discussed below. The principle is logically valid classically, but not in intuitionistic constructive mathematics. However, many particular instances of it are ...

  3. Markov perfect equilibrium - Wikipedia

    en.wikipedia.org/wiki/Markov_perfect_equilibrium

    A Markov perfect equilibrium is an equilibrium concept in game theory. It has been used in analyses of industrial organization , macroeconomics , and political economy . It is a refinement of the concept of subgame perfect equilibrium to extensive form games for which a pay-off relevant state space can be identified.

  4. Markov model - Wikipedia

    en.wikipedia.org/wiki/Markov_model

    A Markov decision process is a Markov chain in which state transitions depend on the current state and an action vector that is applied to the system. Typically, a Markov decision process is used to compute a policy of actions that will maximize some utility with respect to expected rewards.

  5. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    A Markov chain is a type of Markov process that has either a discrete state space or a discrete index set (often representing time), but the precise definition of a Markov chain varies. [6]

  6. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    Quizlet was founded in 2005 by Andrew Sutherland as a studying tool to aid in memorization for his French class, which he claimed to have "aced". [6] [7] [8] ...

  7. Markov property - Wikipedia

    en.wikipedia.org/wiki/Markov_property

    The term Markov assumption is used to describe a model where the Markov property is assumed to hold, such as a hidden Markov model. A Markov random field extends this property to two or more dimensions or to random variables defined for an interconnected network of items. [1] An example of a model for such a field is the Ising model.

  8. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    The "Markov" in "Markov decision process" refers to the underlying structure of state transitions that still follow the Markov property. The process is called a "decision process" because it involves making decisions that influence these state transitions, extending the concept of a Markov chain into the realm of decision-making under uncertainty.

  9. Law of demand - Wikipedia

    en.wikipedia.org/wiki/Law_of_demand

    In microeconomics, the law of demand is a fundamental principle which states that there is an inverse relationship between price and quantity demanded. In other words, "conditional on all else being equal , as the price of a good increases (↑) , quantity demanded will decrease (↓) ; conversely, as the price of a good decreases (↓ ...