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👉 Probabilistic.

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👉 In probability theory and statistics, a probabilistic interpretation of an event or process is one in which the outcome is influenced by random events or parameters. This means that the probability of the event occurring depends on the underlying probabilities of these events. For example, if you roll two dice, then the probability of rolling a 6 on both dice (a "6" event) depends on the probabilities of each die landing on a 1, 2, and 3. If you flip a coin

probabilistically

👉 In statistics and probability, a probabilistic model is a statistical model that makes use of probability theory to describe or explain data. It involves assigning probabilities to different outcomes based on the likelihoods of certain events occurring under various conditions. Probabilistic models are often used in fields such as finance, biology, and social sciences, where uncertainty and randomness are significant factors.

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👉 Probabilistic language is a linguistic system that allows for the interpretation of probability statements. It is based on the idea that probabilities are subjective and can be expressed in terms of probabilities, rather than being fixed or absolute. Probabilistic languages allow for the construction of sentences with ambiguous meaning, as they do not rely solely on absolute certainty but also allow for flexibility in interpretations. This allows for a more nuanced understanding of probability statements, which is one of the fundamental concepts of probabilism.

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👉 Probabilistic logic is a type of logical system that involves the use of probability to provide probabilities for propositions and other mathematical statements. In this context, "proposition" refers to an idea or statement that can be evaluated as true or false based on whether it has been observed or not. The term "probabilistic logic" is often used in conjunction with "probability theory," which is a branch of mathematics that deals with the study of probability and its applications in various fields, including physics,

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