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Proposes that probabilities represent the tendency of a given type of situation to yield an outcome of a certain kind, rather than a frequency or degree of belief.

Suggests probabilities reflect the adaptive fitness of organisms to their environments and the relative frequency of events in the natural world.

Probability is the individual's personal measure of belief or confidence in a particular event occurring, which can vary from person to person.

Defines probabilities in terms of operational tests, where the probability is derived from the outcomes of actual experiments or measurements.

Considers probabilities as logical relations between propositions, which can be determined by the evidence available.

Links probabilities with actions under uncertainty, focusing on how individuals make choices when facing different possible outcomes.

Probabilities are determined by the possible outcomes in a situation being equally likely, based on symmetry or similar reasoning.

Used often in statistical mechanics, where probabilities are associated with an ensemble of systems or events and not a single trial.

Probabilities are inferred from the observed frequencies in experimental data, and predictions are made based on empirical evidence.

Views probabilities as a guide for rational decisions in games or economic models, where payoffs are uncertain.

Maintains that probabilities have a real physical existence and are not a matter of belief, such as quantum mechanical probabilities.

Probabilities are treated as degrees of belief, based on prior knowledge as well as observed data. It uses Bayes' theorem as a framework for updating these beliefs.

Occurs in classical statistical methods where probability quantifies how often an event will occur in the long run. It assumes that the same conditions are repeated multiple times.

Probabilities are the fundamental components of the best systematization of the laws of nature, assuming the role of simplifying and unifying the principles describing the world.