Title: Logic And Conditional Probability
Description: This monograph develops an algebra of Boolean fractions, (ab) - ordered pairs of propositions or events - "a if b", "event a given event b". In nine chapters, the author shows that these conditional propositions (together with their associated instantiations or models):

Provide logical elements that better represent and more faithfully facilitate manipulation of certain and uncertain conditional information

Extend the Boole's algebra of 2-valued statements to a 3-valued system that includes "inapplicable statements" - those whose condition may be false in some or all instances (examples, cases, models...)

Allow a definition of the probability of an arbitrary Boolean proposition

Non-trivially combine Boolean logic with standard conditional probability theory

Provide a complete and adequate development of the crucial 4th operation for Boolean logic, namely conditioning, including iterated conditioning

Provide an expanded theory of deduction defined in terms of the extended operations on the Boolean fractions

Admit a variety of deduction relations, and that the deductively closed sets generated by some initial set of conditionals can be calculated

Extend the ordinary function operations of sum, difference, product & quotient to real-valued functions with possibly different or overlapping domains of definition
Subjects: Logic, Mathematical logic, Set theory, Probabilities, Conditionals, Conditional probabilities, Probability theory