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On Trivalent Logics, Compound Conditionals, and Probabilistic Deduction Theorems
We prove a Probabilistic Deduction Theorem for conditional events.
Probability Logic
This chapter presents probability logic as a rationality framework for human reasoning under uncertainty.
Abductive, Causal, and Counterfactual Conditionals Under Incomplete Probabilistic Knowledge
We study abductive, causal, and non-causal conditionals in indicative and counterfactual formulations using probabilistic truth table tasks under incomplete probabilistic knowledge (N = 80).
Modeling the Ellsberg Paradox by Argument Strength
We present a formal measure of argument strength, which combines the ideas that conclusions of strong arguments are (i) highly probable and (ii) their uncertainty is relatively precise.
Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences?
In this paper we study selected argument forms involving counterfactuals and indicative conditionals under uncertainty.
Transitive reasoning with imprecise probabilities
We study probabilistically informative (weak) versions of transitivity, by using suitable definitions of defaults and negated defaults, in the setting of coherence and imprecise probabilities.
