-My research consists in the foundations, and philosophy of probability, and developing a novel conception of single case objective chance. This concerns the nature of single case objective chance (propensity) and its relation to logic and full belief, credence, and counter-factual/conditional logic, and decision theory vis a vis qualitative dominance/logic -state-wise-dominance/conditional-logic dominance. Primarily concerns, the solving the issue of the : Principle Principal of David Lewis, in all of its forms, as qualitative, numerical, qualitative (Actualist) and numerical Actualist PP. -And the interpretation and foundation of the concept of `probability. Propensities as the truth-makers of the world needed to facilitate the strange mind-to world connection required to connect propensity to their required connection to conditional logic, and the doxastic attitudes of agents, in order to answer the challenge of the Principal Principle. I try to answer at very least this questions: $$PP_{1}:text{numerical, non-Actualist Principle Principal often call the Principal Principle}.$$ $$PP_{1}:Cr(A PR(A)=x)=x$$ Why is one (guaranteed to be?) better, off, on the single case, using the single case alone, without indifference or relative frequency principles, having one`s subjective probabilities, denoted/credences denoted: $Cr$, aligned with aligned with the objective chance . values/probabilities denoted: $PR$? - Where by more- I mean that this is graded, via dominance/logic, alone, in the sense of: $$subset equiv supset leftrightarrow to leftarrow.$$ And justified in terms of dominance alone, vis a vis conditional beliefs in virtue of the underlying objective single case propensity account that I develop using a weird resistance concept to facilitate the required mind-world connection. $$PR(A)>PR(B) iff [Asupset B].$$ $$text{or more generally}:$$ $$[PR(A)>PR(B)] iff [Ato B].$$ $$PR(A)=PR(B)iff[Aleftrightarrow B].$$ Which is meant to taken literally in my account of probability. Including, but not limited to, the case of two equi-probable and thus logically equivalent, yet, mutually exclusive and exhaustive, events: $$frac{1}{2}=PR(A)=PR(¬A)iff [A↔¬A].$$ Profile ©

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