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Scenario planning helps a firm anticipate the impact of different scenarios and identify weaknesses. When anticipated years in advance, those weaknesses can be avoided or their impacts reduced more effectively than when similar real-life problems are considered under the duress of an emergency.
Games can have several features, a few of the most common are listed here. Number of players: Each person who makes a choice in a game or who receives a payoff from the outcome of those choices is a player.
Example: Agamemnon (play) Falling prey to cruelty/misfortune. an unfortunate; a master or a misfortune; The unfortunate suffers from misfortune and/or at the hands of the master. Example: Job (biblical figure) Revolt. a tyrant; a conspirator; The tyrant, a cruel power, is plotted against by the conspirator. Example: Julius Caesar (play) Daring ...
Doomsday scenarios are possible events that could cause human extinction or the destruction of all or most life on Earth (a "true" or "major" Armageddon scenario), or alternatively a "lesser" Armageddon scenario in which the cultural, technological, environmental or social world is so greatly altered it could be considered like a different world.
Bertrand's paradox: Different common-sense definitions of randomness give quite different results. Birthday paradox: In a random group of only 23 people, there is a better than 50/50 chance two of them have the same birthday. Borel's paradox: Conditional probability density functions are not invariant under coordinate transformations.
A platform called Moral Machine [44] was created by MIT Media Lab to allow the public to express their opinions on what decisions autonomous vehicles should make in scenarios that use the trolley problem paradigm. Analysis of the data collected through Moral Machine showed broad differences in relative preferences among different countries. [45]
A climate change scenario is a hypothetical future based on a "set of key driving forces". [1]: 1812 Scenarios explore the long-term effectiveness of mitigation and adaptation. [2] Scenarios help to understand what the future may hold. They can show which decisions will have the most meaningful effects on mitigation and adaptation.
The Cauchy distribution, an example of a distribution which does not have an expected value or a variance. In physics it is usually called a Lorentzian profile, and is associated with many processes, including resonance energy distribution, impact and natural spectral line broadening and quadratic stark line broadening.