In this study, it was aimed to determine sixth, seventh and eighth grade students’ levels of probabilistic
 reasoning investigate these in relation gender, level mathematics achievement. The
 study employed the descriptive survey relational models with group comprised a total of
 286 students. For determination probabilistic reasoning, reasoning
 scale used developed by rese...

Makinson and van der Torre [14] introduce a number of input/output (I/O) logics to reason about conditional norms. The key idea is to make obligations relative to a given set of conditional norms. The meaning of the normative concepts is, then, given in terms of a set of procedures yielding outputs for inputs. Using the same methodology, Stolpe [20,21] has developed some more I/O logics to incl...

Conditional knowledge bases have been proposed as belief bases that include defeasible rules (also called defaults) of the form “ ! ”, which informally read as “generally, if then .” Such rules may have exceptions, which can be handled in different ways. A number of entailment semantics for conditional knowledge bases have been proposed in the literature. However, while the semantic properties ...

Background: Corcoran (2000, 2001) has suggested that theory of mind judgements can be arrived at using analogical reasoning skills and she has proposed that this is the route that people with schizophrenia take when they make inferences about others’ mental states. Recent work has demonstrated a robust relationship between mental state inference and autobiographical memory, providing initial su...

and Abstract Plus Examples Conditions In this study we are interested in how people interpret and reason about a very important type of logical statement, called the condirional. Even though conditional statements are really very simple, people often make errors in dealing with them. These instructions are intended to help you understand conditional statements. Read through these instructions c...

Combining logic with probabilities is a core idea to uncertain reasoning. Recently, approaches to probabilistic conditional logics based on first-order languages have been proposed that employ the principle of maximum entropy (ME), e.g. the logic FO-PCL. In order to simplify the ME model computation, FO-PCL knowledge bases can be transformed so that they become parametrically uniform. On the ot...