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The conditional in mental probability logic

This chapter describes a probabilistic framework of human reasoning based on probability logic. While there are several approaches to probability logic, the chapter adopts the coherence based approach. It assumes that rules similar to the principles of probability logic are basic rules of the human inference engine. The approach is called ‘mental probability logic’. Conditionals are of special importance in the approach. These are conceived as non-truth functional, as uncertain, and as nonmonotonic.