A major hypothesis about conditionals is the Equation in which the probability of a
conditional equals the corresponding conditional probability: p (if A then C)= p (C| A) …

This chapter explores the topic of imprecise probabilities (IP) as it relates to model
validation. IP is a family of formal methods that aim to provide a better representation of …

After an introductory section, this article will focus on four questions: How should the Kyoto
School be defined? What is meant by its central philosophical concept of “absolute …

We take coherence based probability logic as the basic reference theory to model human
deductive reasoning. The conditional and probabilistic argument forms are explored. We …

Since Störring's (1908) pioneering experiments on syllogistic reasoning at the beginning of
the last century, experimental psychology has investigated deductive reasoning in the …

There has been a major shift in research on human reasoning toward Bayesian and
probabilistic approaches, which has been called a new paradigm. The new paradigm sees …

We present a unified approach for investigating rational reasoning about basic argument
forms involving indicative conditionals, counterfactuals, and basic quantified statements …

The new paradigm in the psychology of reasoning redirects the investigation of deduction
conceptually and methodologically because the premises and the conclusion of the …

Abstract Two experiments (N 1= 141, N 2= 40) investigate two versions of Aristotle's Thesis
for the first time. Aristotle's Thesis is a negated conditional, which consists of one …

Probabilistic models have started to replace classical logic as the standard reference
paradigm in human deductive reasoning. Mental probability logic emphasizes general …