Logical probability is a measure of partial entailment or inductive support. It generalizes the classical interpretation's assignments to "equally possible" cases and the notion of entailment in deductive logic.  Probabilistic logic, also known as probability logic and probabilistic reasoning, uses logic and probability to deal with uncertain situations. It extends traditional logic truth tables with probabilistic expressions.  Probability logic is a generalization of logic. It combines probabilistic reasoning with logical rule-based reasoning and studies formal properties of uncertain... Show more

Logical probability is a measure of partial entailment or inductive support. It generalizes the classical interpretation's assignments to "equally possible" cases and the notion of entailment in deductive logic. 

Probabilistic logic, also known as probability logic and probabilistic reasoning, uses logic and probability to deal with uncertain situations. It extends traditional logic truth tables with probabilistic expressions. 
Probability logic is a generalization of logic. It combines probabilistic reasoning with logical rule-based reasoning and studies formal properties of uncertain argument forms. 
Probability logic is a framework for analyzing and specifying properties of structures involving probability. It provides rules for reasoning about these structures. 
Probability theory generalizes classical logic by measuring truth on a scale between 0 and 1, where 0 is false and 1 is true. For example, if the probability of rain tomorrow is 0.9, it means that rain is significantly more likely, but not absolutely certain. 
Probability logic is basically probability theory as an extension of classical first-order logic or modal logic. 

Probability has many real-life applications, including:
Forecasting the weather
Sports outcomes
Card games and other games of chance
Insurance
Traffic signals
Medical diagnosis
Election results
Lottery probability 

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